Noel Cressie: Research Publications
These are divided up into the following categories and can be accessed by clicking on the links below:
- Books
- Refereed Articles
- Unrefereed Articles
- Other Publications (including Book Reviews, Comments, Interviews, etc.)
Books
- Refereed Articles
- Unrefereed Articles
- Other Publications (including Book Reviews, Comments, Interviews, etc.)
2019
Wikle, C.K., Zammit-Mangion, A., and Cressie, N. (2019). Spatio-Temporal Statistics with R. Chapman & Hall/CRC, Boca Raton, FL (380 pp.).
2011
Cressie, N. and Wikle, C.K. (2011). Statistics for Spatio-Temporal Data. Wiley, Hoboken, NJ (588 pp.).
1993
Cressie, N. (1993). Statistics for Spatial Data, rev. edn. Wiley, New York, NY (900 pp.). (Original edition, 1991. Paperback edition in the Wiley Classics Library: Wiley, Hoboken, NJ, 2015).
1988
Read, T.R.C. and Cressie, N. (1988). Goodness-of-Fit Statistics for Discrete Multivariate Data. Springer, New York, NY (211 pp.).
Refereed Articles
2024
Bertolacci, M., Zammit-Mangion, A., Schuh, A., Bukosa, B., Fisher, J. A., Cao, Y., Kaushik, A., and Cressie, N. (2024). Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework (with Supplement). The Annals of Applied Statistics, 18, 303–327 (doi:10.1214/23-AOAS1790).
Pearse, A. R., Cressie, N., and Gunawan, D. (2024). Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss. Spatial Statistics, 60, 100829 (doi:10.1016/j.spasta.2024.100829).
Sainsbury-Dale, M., Zammit-Mangion, A., and Cressie, N. (2024). Modeling big, heterogeneous, non-Gaussian spatial and spatio-temporal data using FRK. Journal of Statistical Software, 108 (10), 1- 39 (doi:10.18637/jss.v108.i10).
Zammit-Mangion, A., Kaminski, M. D., Tran, B-H., Filippone, M., and Cressie, N. (2024). Spatial Bayesian neural networks. Spatial Statistics, 60, 100825 (doi:10.1016/j.spasta.2024.100825).
2023
Cressie, N. (2023). Decisions, decisions, decisions in an uncertain environment. Environmetrics, 34, e2767 (doi:10.1002/env.2767).
Cressie, N. (2023). Adapting statistical science for a fast-changing climate. CHANCE, 36.1, 9-13 (doi:10.1080/09332480.2023.2179263).
Cressie, N. and Moores, M. T. (2023). Spatial statistics, in Encyclopedia of Mathematical Geosciences, eds B. S. Daya Sagar, Q. Cheng, J. McKinley, and F. Agterberg. Springer, Cham, CH, pp.1362-1373 (2023) (doi:10.1007/978-3-030-26050-7_31-2).
Cressie, N., Zammit-Mangion, A., Jacobson, J., and Bertolacci, M. (2023). Earth’s CO2 battle: a view from space. Significance, 20, February 2023, 14-19 (doi:10.1093/jrssig/qmad003).
Byrne, B. et al. (with 60 co-authors including Cressie, N.). (2023). National CO2 budgets (2015-2020) inferred from atmospheric CO2 observations in support of the global stocktake. Earth System Science Data, 15, 963-1004 (doi:10.5194/essd-15-963-2023).
Gaubert, B. et al. (with 30 co-authors including Cressie, N.). (2023). Neutral tropical African CO2 exchange estimated from aircraft and satellite observations. Global Biogeochemical Cycles, 37, 1-19 (doi:10.1029/2023GB007804).
Jacobson, J., Cressie, N., and Zammit-Mangion, A. (2023). Spatial statistical prediction of solar-induced chlorophyll fluorescence (SIF) from multivariate OCO-2 data. Remote Sensing, 15, 4038 (doi:10.3390/rs15164038).
Trewin, D., Fisher, N., and Cressie, N. (2023). The Robodebt tragedy. Significance, 20, December 2023, 18-21 (doi:10.1093/jrssig/qmad092).
2022
Cressie, N., Bertolacci, M., and Zammit-Mangion, A. (2022). From many to one: Consensus inference in a MIP. Geophysical Research Letters, 49, e2022GL098277 (doi:10.1029/2022GL098277).
Cressie, N., Sainsbury-Dale, M., and Zammit-Mangion, A. (2022). Basis-function models in spatial statistics. Annual Review of Statistics and its Application, 9, 373-400 (doi:10.1146/annurev-statistics-040120-020733).
Cressie, N., Pearse, A., and Gunawan, D. (2022). Optimal spatial prediction for non-negative spatial processes using a phi-divergence loss function, in Trends in Mathematical, Information, and Data Sciences, eds N. Balakrishnan, M. A. Gil, N. Martin, D. Morales, and M. Pardo. Springer Nature, Cham, CH, pp. 181-197 (doi:10.1007/978-3-031-04137-2_17).
Vu, Q., Zammit-Mangion, A., and Cressie, N. (2022). Modeling nonstationary and asymmetric multivariate spatial covariances via deformations. Statistica Sinica, 32, 2071-2093 (doi:10.5705/ss.202020.0156).
Zammit-Mangion, A., Bertolacci, M., Fisher, J., Stavert, A., Rigby, M., Cao, Y., and Cressie, N. (2022). WOMBAT v1.0: a fully Bayesian global flux-inversion framework. Geoscientific Model Development, 15, 45-73 (doi:10.5194/gmd-15-45-2022).
Zhang, B., Li, F., Sang, H., and Cressie, N. (2022). Inferring changes in Arctic sea ice through a spatio-temporal logistic autoregression fitted to remote-sensing data. Remote Sensing, 14, 5995 (doi:10.3390/rs14235995).
2021
Cressie, N. (2021). A few statistical principles for data science. Australian & New Zealand Journal of Statistics, 63, 182-200 (doi:10.1111/anzs.12324).
Cressie, N. and Wikle, C. K. (2021). Modeling dependence in spatio-temporal econometrics, in Advances in Contemporary Statistics and Econometrics, eds A. Daouia and A. Ruiz-Gazen, Springer, Cham, Ch, pp. 363-383 (doi:10.1007/978-3-030-73249-3_19).
Barkhordarian, A., Bowman, K. W., Cressie, N., Jewell, J., and Liu, J. (2021). Emergent constraints on tropical atmospheric aridity―carbon feedbacks and the future of carbon sequestration. Environmental Research Letters, 16, 114008 (doi: 10.1088/1748-9326/ac2ce8).
Huang, H.-C., Cressie, N., Zammit-Mangion, A., and Huang, G. (2021). False discovery rates to detect signals from incomplete spatially aggregated data. Journal of Computational and Graphical Statistics, 30, 1081-1094 (doi:10.1080/10618600.2021.1873144).
Zammit-Mangion, A. and Cressie, N. (2021). FRK: An R package for spatial and spatio-temporal prediction with large datasets. Journal of Statistical Software, 98(4), 1-42 (doi:10.18637/jss.v098.i04).
2020
Cressie, N. and Suesse, T. (2020). Great expectations and even greater exceedances from spatially referenced data. Spatial Statistics, 37, 100420 (doi:10.1016/j.spasta.2020.100420).
Cressie, N. and Wikle, C.K. (2020). Measuring, mapping, and uncertainty quantification in the space-time cube. Revista Matemática Complutense, 33, 643-660 (doi:10.1007/s13163-020-00359-7).
Stough, T., Cressie, N., Kang, E. L., Michalak, A. M., and Sahr, K. (2020). Spatial analysis and visualization of global data on multi-resolution hexagonal grids. Japanese Journal of Statistics and Data Science, 3, 107-128.
Zhang, B. and Cressie, N. (2020). Bayesian spatio-temporal modeling of Arctic sea ice extent. Bayesian Analysis, 15, 605-631.
2019
Cressie, N. and Hardouin, C. (2019). A diagonally weighted matrix norm between two covariance matrices. Spatial Statistics, 29, 316-328.
Nguyen, H., Cressie, N., and Hobbs, J. (2019). Sensitivity of Optimal Estimation satellite retrievals to misspecification of the prior mean and covariance, with application to OCO-2 retrievals. Remote Sensing, 11, 2770.
Weinberg, D., et al. (16 co-authors, including Cressie, N.) (2019). Effects of a government-academic partnership: Has the NSF-Census Bureau Research Network helped improve the U.S. statistical system? Journal of Survey Statistics and Methodology, 7, 589-619.
Zhang, B. and Cressie, N. (2019). Estimating spatial changes over time of Arctic sea ice using hidden 2 x 2 tables. Journal of Time Series Analysis, 40, 288-311.
Zhang, B., Cressie, N., and Wunch, D. (2019). Inference for errors-in-variables models in the presence of systematic errors with an application to a satellite remote sensing campaign. Technometrics, 61, 187-201.
2018
Cressie, N. (2018). Mission CO2ntrol: A statistical scientist’s role in remote sensing of atmospheric carbon dioxide (with discussion). Journal of the American Statistical Association, 113, 152-181.
Supplemental Material for “Mission CO2ntrol: A statistical scientist's role in remote sensing of atmospheric carbon dioxide” by Noel Cressie, in Journal of the American Statistical Association, 113, 152-181 (2018).
Cressie, N. (2018). A statistical analysis of the Jacobian in retrievals of satellite data, in Handbook of Mathematical Geosciences: Fifty Years of IAMG, eds B.S. Daya Sagar, Q. Cheng, and F.P. Agterberg. Springer, Berlin, DE, 117-130.
Bowman, K. W., Cressie, N., Qu, X., and Hall, A. (2018). A hierarchical statistical framework for emergent constraints: Application to snow-albedo feedback. Geophysical Research Letters, 45, 13,050-13,059.
Hardouin, C. and Cressie, N. (2018). Two-scale spatial models for binary data. Statistical Methods and Applications, 27, 1-24.
Marchetti, Y., Nguyen, H., Braverman, A., and Cressie, N. (2018). Spatial data compression via adaptive dispersion clustering. Computational Statistics and Data Analysis, 117, 138-153.
Zammit-Mangion, A., Cressie, N., and Shumack, C. (2018). On statistical approaches to generate Level 3 products from remote sensing retrievals, Remote Sensing, 10, 155.
2017
Cressie, N., Burden, S., Shumack, C., Zammit-Mangion, A., and Zhang, B. (2017). Environmental Informatics. Wiley StatsRef: Statistics Reference Online, pp. 1-8 (doi:10.1002/9781118445112.stat07717.pub2).
Cressie, N., Wang, R., and Maloney, B. (2017). The Atmospheric Infrared Sounder (AIRS) retrieval, revisited. IEEE Geosciences and Remote Sensing Letters, 14, 1504-1507.
Braverman, A., Chatterjee, S., Heyman, M., and Cressie, N. (2017). Probabilistic evaluation of competing climate models. Advances in Statistical Climatology, Meteorology and Oceanography, 3, 93-105.
Hobbs, J., Braverman, A., Cressie, N., Granat, R., and Gunson, M. (2017). Simulation-based uncertainty quantification for estimating atmospheric CO2 from satellite data. SIAM/ASA Journal on Uncertainty Quantification, 5, 956-985.
Nguyen, H., Cressie, N., and Braverman, A. (2017). Multivariate spatial data fusion for very large remote sensing data. Remote Sensing, 9, 142 (doi:10.3390/rs9020142).
Sayre, R., et al. (16 co-authors, including Cressie, N.). (2017). A three-dimensional mapping of the ocean based on environmental data. Oceanography, 30, 90-103 (doi:10.5670/oceanog.2017.116).
Zhang, B., Cressie, N., and Wunch, D. (2017). Statistical properties of atmospheric greenhouse gas measurements looking down from space and looking up from the ground. Chemometrics and Intelligent Laboratory Systems, 162, 214-222.
2016
Cressie, N. and Kang, E. L. (2016). Hot enough for you? A spatial exploratory and inferential analysis of North American climate-change projections. Mathematical Geosciences, 48, 107-121 (doi:10.1007/s11004-015-9607-9).
Cressie, N., Wang, R., Smyth, M., and Miller, C.E. (2016). Statistical bias and variance for the regularized inverse problem: Application to space-based atmospheric CO2 retrievals. Journal of Geophysical Research: Atmospheres, 121, 5526-5537 (doi:10.1002/2015JDO24353).
Cressie, N. and Zammit-Mangion, A. (2016). Multivariate spatial covariance models: A conditional approach. Biometrika, 103, 4, 915-935.
Bradley, J.R., Cressie, N., and Shi, T. (2016). A comparison of spatial predictors when datasets could be very large. Statistics Surveys, 10, 100-131.
Davies, G. and Cressie, N. (2016). Analysis of variability of tropical Pacific sea surface temperatures. Advances in Statistical Climatology, Meteorology and Oceanography, 2, 155-169.
Sengupta, A., Cressie, N., Kahn, B. H., and Frey, R. (2016). Predictive inference for big, spatial, non-Gaussian data: MODIS cloud data and its change-of-support. Australian and New Zealand Journal of Statistics, 58, 15-45.
Zammit-Mangion, A., Cressie, N., and Ganesan, A.L. (2016). Non-Gaussian bivariate modelling with application to atmosphere trace-gas inversion. Spatial Statistics, 18, 194-220.
2015
Cressie, N. and Burden, S. (2015). Figures of merit for simultaneous inference and comparisons in simulation experiments. Stat, 4, 196-211.
Cressie, N. and Burden, S. (2015). Evaluation of diagnostics for hierarchical spatial statistical models, in Geometry Driven Statistics, eds I.L. Dryden and J.T. Kent. Wiley, Chichester, UK, pp. 241-259.
Bradley, J.R., Cressie, N., and Shi, T. (2015). Comparing and selecting spatial predictors using local criteria (with discussion). Test, 24, 1-28. (Rejoinder: 2015, Vol. 24, pp. 54-60.)
Burden, S., Cressie, N., and Steel, D. G. (2015). The SAR model for very large datasets: A reduced-rank approach. Econometrics, 3, 317-338.
Zammit-Mangion, A., Cressie, N., Ganesan, A. L., O'Doherty, S., and Manning, A. J. (2015). Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion. Chemometrics and Intelligent Laboratory Systems, 149, 227-241 (doi:10.1016/j.chemolab.2015.09.006).
2014
Cressie, N. (2014). Environmental informatics: Uncertainty quantification in the environmental sciences, in Past, Present, and Future of Statistical Science, eds X. Lin, D.L. Banks, C. Genest, G. Molenberghs, D.W. Scott, and J-L Wang. CRC Press, Boca Raton, FL, 429-449.
Clifford, D., Pagendam, D., Baldock, J., Cressie, N., Farquharson, R., Farrell, M., MacDonald, L., and Murray, L. (2014). Re-thinking soil carbon modelling: A stochastic approach to quantify uncertainties. Environmetrics, 25, 265-278.
Nguyen, H., Katzfuss, M., Cressie, N., and Braverman, A. (2014). Spatio-temporal data fusion for very large remote sensing datasets. Technometrics, 56, 174-185.
Porter, A. T., Holan, S. H., Wikle, C. K., and Cressie, N. (2014). Spatial Fay-Herriot models for small area estimation with functional covariates. Spatial Statistics, 10, 27-42.
Zhuang, L. and Cressie, N. (2014). Bayesian hierarchical statistical SIRS models. Statistical Methods and Applications, 23, 601-646.
2013
Cressie, N. and Liu, D. (2013). Geographic Information Systems (GISs), spatial statistics in. Entry in Encyclopedia of Environmetrics, second edition, eds A.H. El-Shaarawi and W.W. Piegorsch. Wiley, Chichester, UK (4 pp.)
Cressie, N., Morara, M., Buxton, B., McMillan, N., Strauss, W., and Wilson, N. (2013). A Bayesian multivariate analysis of children's exposure to pesticides. Environmetrics, 24, 357-366.
Cressie, N. and Wang, R. (2013). Statistical properties of the state obtained by solving a nonlinear multivariate inverse problem. Applied Stochastic Models in Business and Industry, 29, 424-438.
Box, J.E., Cressie, N., Bromwich, D. H., Jung, J-H., van den Broeke, M., Van Angelen, J. H., Forster, R., Miège, C., Mosley-Thompson, E., Vinther, B., and McConnell, J. R. (2013). Greenland ice sheet mass balance reconstruction. Part I: net snow accumulation (1600-2009). Journal of Climate, 25, 3919-3934.
Clifford, D., Cressie, N., England, J. R., Roxburgh, S. H., and Paul, K. I. (2013). Unbiased, efficient estimation and prediction of biomass from log-log allometric models. Forest Ecology Management, 310, 375-381.
Kang, E. L. and Cressie, N. (2013). Bayesian hierarchical ANOVA of regional climate-change projections from NARCCAP Phase II. International Journal of Applied Earth Observation and Geoinformation, 22, 3-15.
Parslow, J., Cressie, N., Campbell, E., Jones, E., and Murray, L. (2013). Bayesian learning and predictability in a stochastic nonlinear dynamical model. Ecological Applications, 23, 679-698.
Sengupta, A. and Cressie, N. (2013). Empirical hierarchical modeling for count data using the Spatial Random Effects model. Spatial Economic Analysis, 8, 389-418.
Sengupta, A. and Cressie, N. (2013). Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions. Spatial Statistics, 4, 14-44.
Zhuang, L., Cressie, N., Pomeroy, L., and Janies, D. (2013). Multi-species SIR models from a dynamical Bayesian perspective. Theoretical Ecology, 6, 457-473.
2012
Cressie, N. (2012). Spatio-temporal statistics in Earth sciences, in Water Information Research and Development Alliance (WIRADA) Science Symposium Proceedings, Melbourne, Australia, 1-5 August 2011, 323-329.
Cressie, N., Assunção, R., Holan, S. H., Levine, M., Nicolis, O., Zhang, J., and Zhou, J. (2012). Dynamical random-set modeling of concentrated precipitation in North America. Statistics and its Interface, 5, 169-181.
Kang, E. L., Cressie, N., and Sain, S. (2012). Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model. Journal of the Royal Statistical Society, Series C (Applied Statistics), 61, 291-313.
Katzfuss, M. and Cressie, N. (2012). Bayesian hierarchical spatio-temporal smoothing for very large datasets. Environmetrics, 23, 94-107.
Li, H., Calder, C.A., and Cressie, N. (2012). One-step estimation of spatial dependence parameters: Properties and extensions of the APLE statistic. Journal of Multivariate Analysis, 105, 68-84.
Nguyen, H., Cressie, N., and Braverman, A. (2012). Spatial statistical data fusion for remote-sensing applications. Journal of the American Statistical Association, 107, 1004-1018.
Zhuang, L. and Cressie, N. (2012). Spatio-temporal modeling of Sudden Infant Death Syndrome data. Statistical Methodology, 9, 117-143.
2011
Cressie, N. and Medak, F.M. (2011). Using power-divergence statistics to test for homogeneity in product-multinomial distributions, in Modern Mathematical Tools and Techniques in Computing Complexity, eds L. Pardo, N. Balakrishnan, and M.A. Gil. Springer-Verlag, Berlin, DE, 157-169.
Braverman, A., Cressie, N., and Teixeira, J. (2011). A likelihood-based comparison of temporal models for physical processes. Statistical Analysis and Data Mining, 4, 247-258 (doi:10.1002/sam.10113).
Huang, C., Hsing, T., and Cressie, N. (2011). Nonparametric estimation of the variogram and its spectrum. Biometrika, 98, 775-789.
Huang, C., Hsing, T., and Cressie, N. (2011). Spectral density estimation through a regularized inverse problem. Statistica Sinica, 21, 1115-1124.
Kang, E.L. and Cressie, N. (2011). Bayesian inference for the Spatial Random Effects model. Journal of the American Statistical Association, 106, 972-983 (doi:10.1198/jasa.2011.tm09680).
Katzfuss, M. and Cressie, N. (2011). Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets. Journal of Time Series Analysis, 32, 430-446 (doi:10.1111/j.1467-9892.2011.00732.x).
Paul, R. and Cressie, N. (2011). Lognormal block kriging for contaminated soil. European Journal of Soil Science, 62, 337-345.
Sain, S., Furrer, R., and Cressie, N. (2011). A spatial analysis of multivariate output from regional climate models. Annals of Applied Statistics, 5, 150-175.
Wunch, D., et al. (42 co-authors, including Cressie, N.). (2011). A method for evaluating bias in global measurements of CO2 total columns from space. Atmospheric Chemistry and Physics, 11, 12317-12337.
2010
Cressie, N. and Kang, E. L. (2010). High-resolution digital soil mapping: Kriging for very large datasets, in Proximal Soil Sensing, eds R.A. Viscarra Rossel, A. B. McBratney, and B. Minasny. Springer, Dordrecht, NL, 49-63.
Cressie, N., Shi, T., and Kang, E. L. (2010). Fixed rank filtering for spatio-temporal data. Journal of Computational and Graphical Statistics, 19, 724-745.
Ahlqvist, O., Ban, H., Cressie, N., and Zuniga-Shaw, N. (2010). Statistical counterpoint: Knowledge discovery of choreographic information using spatio-temporal analysis and visualization. Applied Geography, 30, 548-560.
Huang, C., Hsing, T., Cressie, N., Ganguly, A. R., Protopopescu, V. A., and Rao, N. S. (2010). Bayesian source detection and parameter estimation of a plume model based on sensor network measurements (with discussions). Applied Stochastic Models in Business and Industry, 26, 331-361 (doi:10.1002/asmb.859).
Kang, E.L., Cressie, N., and Shi, T. (2010). Using temporal variability to improve spatial mapping with application to satellite data. Canadian Journal of Statistics, 38, 271-289.
2009
Cressie, N., Calder, C. A., Clark, J. S., Ver Hoef, J. M., and Wikle, C. K. (2009). Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling (with discussion). Ecological Applications, 19, 553-570.
Calder, C. A. and Cressie, N. (2009). Kriging and variogram models, in International Encyclopedia of Human Geography, Vol. 1, eds R. Kitchin and N. Thrift. Elsevier, Oxford, UK, 49-55.
Craigmile, P. F., Calder, C. A., Li, H., Paul, R., and Cressie, N. (2009). Hierarchical model building, fitting, and checking: A behind-the-scenes look at a Bayesian analysis of arsenic exposure pathways (with discussion). Bayesian Analysis, 4, 1-62.
Huang, C., Yao, Y., Cressie, N., and Hsing, T. (2009). Multivariate intrinsic random functions for cokriging. Mathematical Geosciences, 41, 887-904.
Kang, E. L., Liu, D., and Cressie, N. (2009). Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis, 53, 3016-3032.
2008
Cressie, N. and Johannesson, G. (2008). Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B, 70, 209-226 (doi:10.1111/j.1467-9868.2007.00633.x)
Cressie, N. and Kapat, P. (2008). Some diagnostics for Markov random fields. Journal of Computational and Graphical Statistics, 17, 726-749.
Cressie, N. and Verzelen, N. (2008). Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields. Computational Statistics and Data Analysis, 52, 2794-2807.
Berliner, L. M., Cressie, N., Jezek, K., Kim, Y., Lam, C. Q., and van der Veen, C. J. (2008). Equilibrium dynamics of ice streams: A Bayesian statistical analysis. Statistical Methods and Applications, 17, 145-165.
Berliner, L. M., Jezek, K., Cressie, N., Kim, Y., Lam, C. Q., and van der Veen, C. J. (2008). Modeling dynamic controls on ice streams: A Bayesian statistical approach. Journal of Glaciology, 54, 705-714.
Pavlicova, M., Santner, T.J., and Cressie, N. (2008). Detecting signals in FMRI data using powerful FDR procedures. Statistics and its Interface, 1, 23-32.
Zhang, J., Craigmile, P.F., and Cressie, N. (2008). Loss function approaches to predict a spatial quantile and its exceedance region. Technometrics, 50, 216-227.
2007
Cressie, N., Buxton, B. E., Calder, C. A., Craigmile, P. F., Dong, C., McMillan, N. J., Morara, M., Santner, T. J., Wang, K., Young, G., and Zhang, J. (2007). From sources to biomarkers: A Bayesian approach to human exposure modeling. Journal of Statistical Planning and Inference, 137, 3361-3379 (doi:10.1016/j.jspi.2007.03.017).
Johannesson, G., Cressie, N., and Huang, H.-C. (2007). Dynamic multi-resolution spatial models. Environmental and Ecological Statistics, 14, 5-25.
Li, H., Calder, C. A., and Cressie, N. (2007). Beyond Moran's I: Testing for spatial dependence based on the spatial autoregressive model. Geographical Analysis, 39, 357-375.
Sain, S. and Cressie, N. (2007). A spatial model for multivariate lattice data. Journal of Econometrics, 140, 226-259.
Shi, T. and Cressie, N. (2007). Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite. Environmetrics, 18, 665-680.
2006
Cressie, N. (2006). Block kriging for lognormal spatial processes. Mathematical Geology, 38, 413-443.
Cressie, N., Frey, J., Harch, B., and Smith, M. (2006). Spatial prediction on a river network. Journal of Agricultural, Biological, and Environmental Statistics, 11, 127-150 (doi:10.1198/108571106X110649).
Cressie, N., Perrin, O., and Thomas-Agnan, C. (2006). Doctors' prescribing patterns in the Midi-Pyrénées region of France: Point-process aggregation, in Case Studies in Spatial Point Process Modeling, eds A. Baddeley, P. Gregori, J. Mateu, R. Stoica, and D. Stoyan. Springer Lecture Notes in Statistics, No. 185, Springer, New York, NY, 183-195.
Craigmile, P. F., Cressie, N., Santner, T. J., and Rao, Y. (2006). A loss function approach to identifying environmental exceedances. Extremes, 8, 143-159.
Kornak, J., Irwin, M. E., and Cressie, N. (2006). Spatial point process models of defensive strategies: Detecting changes. Statistical Inference for Stochastic Processes, 9, 31-46.
Pavlicova, M., Cressie, N., and Santner, T. J. (2006). Testing for activation in data from FMRI experiments. Journal of Data Science, 4, 275-289.
2005
Cressie, N. and Pavlicova, M. (2005). Lognormal kriging: Bias adjustment and kriging variances, in Geostatistics Banff 2004: Proceedings of the Seventh International Geostatistics Congress, eds O. Leuangthong and C. V. Deutsch. Springer, Dordrecht, NL, 1027-1036.
Cressie, N., Perrin, O., and Thomas-Agnan, C. (2005). Likelihood-based estimation for Gaussian MRFs. Statistical Methodology, 2, 1-16.
Cressie, N., Zhang, J., and Craigmile, P. F. (2005). Geostatistical prediction of spatial extremes and their extent, in Geostatistics for Environmental Applications, Proceedings of the Fifth Conference on Geostatistics for Environmental Applications, eds P. Renard, H. Demougeot-Renard, and R. Froidevaux. Springer, Berlin, DE, 27-37.
Tzeng, S., Huang, H.-C., and Cressie, N. (2005). A fast, optimal spatial-prediction method for massive datasets. Journal of the American Statistical Association, 100, 1343-1357.
2004
Cressie, N., Richardson, S., and Jaussent, I. (2004). Ecological bias: Use of maximum-entropy approximations. Australian and New Zealand Journal of Statistics, 46, 233-255.
Johannesson, G. and Cressie, N. (2004). Finding large-scale spatial trends in massive, global, environmental datasets. Environmetrics, 15, 1-44.
Johannesson, G. and Cressie, N. (2004). Variance-covariance modeling and estimation for multi-resolution spatial models, in geoENV 2002 - Geostatistics for Environmental Applications, eds X. Sanchez-Vila, J. Carrera, and J. Gomez-Hernandez. Kluwer, Dordrecht, NL, 319-330.
Ver Hoef, J. M., Cressie, N., and Barry, R. P. (2004). Flexible spatial models based on the Fast Fourier Transform (FFT) for cokriging. Journal of Computational and Graphical Statistics, 13, 265-282 (doi:10.1198/1061860043498).
Wendt, D. A., Irwin, M. E., and Cressie, N. (2004). Waypoint analysis for command and control. Naval Research Logistics, 51, 1045-1067.
2003
Cressie, N. and Kornak, J. (2003). Spatial statistics in the presence of location error with an application to remote sensing of the environment. Statistical Science, 18, 436-456.
Cressie, N., Pardo, L., and Pardo, M. (2003). Size and power considerations for testing loglinear models using Φ-divergence test statistics. Statistica Sinica, 13, 555-570.
Aldworth, J. and Cressie, N. (2003). Prediction of nonlinear spatial functionals. Journal of Statistical Planning and Inference, 112, 3-41.
Frey, J. and Cressie, N. (2003). Some results on constrained Bayes estimators. Statistics and Probability Letters, 65, 389-399.
Hrafnkelsson, B. and Cressie, N. (2003). Hierarchical modeling of count data with application to nuclear fall-out. Environmental and Ecological Statistics, 10, 179-200.
Wright, D. L., Stern, H. S., and Cressie, N. (2003). Loss functions for estimation of extrema with an application to disease mapping. Canadian Journal of Statistics, 31, 251-266.
2002
Cressie, N. (2002). Geographic Information Systems (GIS), spatial statistics in. Entry in Encyclopedia of Environmetrics, Vol. 2, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, NY, 894-897.
Cressie, N. (2002). Spatial statistics in environmental epidemiology. Entry in Encyclopedia of Environmetrics, Vol. 4, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, NY, 2076-2080.
Cressie, N. (2002). Variogram. Entry in Encyclopedia of Environmetrics, Vol. 4, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, NY, 2313-2316.
Cressie, N. (2002). Variogram estimation. Entry in Encyclopedia of Environmetrics, Vol. 4, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, NY, 2316-2321 (doi:10.1002/9780470057339.vav002m).
Cressie, N. and Pardo, L. (2002). Model checking in loglinear models using Φ-divergences and MLEs. Journal of Statistical Planning and Inference, 103, 437-453.
Cressie, N. and Pardo, L. (2002). Phi-divergence statistic. Entry in Encyclopedia of Environmetrics, Vol. 3, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, 1551-1555.
Cressie, N. and Pavlicova, M. (2002). Calibrated spatial moving average simulations. Statistical Modelling, 2, 267-279.
Cressie, N. and Wikle, C. K. (2002). Space-time Kalman filter. Entry in Encyclopedia of Environmetrics, Vol. 4, eds A. H. El-Shaarawi and W. W. Piegorsch. Wiley, New York, NY, 2045-2049.
Gabrosek, J. and Cressie, N. (2002). The effect on attribute prediction of location uncertainty in spatial data. Geographical Analysis, 34, 262-285.
Huang, H. C., Cressie, N., and Gabrosek, J. (2002). Fast, resolution-consistent spatial prediction of global processes from satellite data. Journal of Computational and Graphical Statistics, 11, 63-88.
Irwin, M. E., Cressie, N., and Johannesson, G. (2002). Spatial-temporal nonlinear filtering based on hierarchical statistical models (with discussion). Test, 11, 249-302. (Corrigenda: 2003, Vol. 12, p. 279.)
Kaiser, M.S., Cressie, N., and Lee, J. (2002). Spatial mixture models based on exponential family conditional distributions. Statistica Sinica, 12, 449-474.
Lahiri, S.N., Lee, Y., and Cressie, N. (2002). On asymptotic distribution and asymptotic efficiency of least squares estimators of spatial variogram parameters. Journal of Statistical Planning and Inference, 103, 65-85.
Mugglin, A. S., Cressie, N., and Gemmell, I. (2002). Hierarchical statistical modelling of influenza-epidemic dynamics in space and time. Statistics in Medicine, 21, 2703-2721.
Shen, X., Huang, H. C., and Cressie, N. (2002). Nonparametric hypothesis testing for a spatial signal. Journal of the American Statistical Association, 97, 1122-1140. (Correction: 2005, Vol. 100, pp. 716-718.)
Zhu, J., Lahiri, S. N., and Cressie, N. (2002). Asymptotic inference for spatial CDFs over time. Statistica Sinica, 12, 843-861.
2001
Cressie, N. and Collins, L. B. (2001). Analysis of spatial point patterns using bundles of product density LISA functions. Journal of Agricultural, Biological, and Environmental Statistics, 6, 118-135.
Cressie, N. and Collins, L. B. (2001). Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter. Naval Research Logistics, 38, 333-347.
Cressie, N. and Johannesson, G. (2001). Kriging for cut-offs and other difficult problems, in geoENV III - Geostatistics for Environmental Applications, eds P. Monestiez, D. Allard, and R. Froidevaux. Kluwer, Dordrecht, NL, 299-310.
Cressie, N. and Liu, C. (2001). Binary Markov mesh models and symmetric Markov random fields: Some results on their equivalence. Methodology and Computing in Applied Probability, 3, 5-34.
Daniels, M. J. and Cressie, N. (2001). A hierarchical approach to covariance-function estimation for time series. Journal of Time Series Analysis, 22, 253-266.
Huang, H. C. and Cressie, N. (2001). Multiscale graphical modeling in space: Applications to command and control, in Spatial Statistics: Methodological Aspects and Applications, ed. M. Moore. Springer Lecture Notes in Statistics, No. 159, Springer, New York, NY, 83-113.
Lee, J., Kaiser, M. S., and Cressie, N. (2001). Multiway dependence in exponential family conditional distributions. Journal of Multivariate Analysis, 79, 171-190.
Ver Hoef, J. M. and Cressie, N. (2001). Spatial statistics: Analysis of field experiments, in Design and Analysis of Ecological Experiments, 2nd edn, eds S. M. Scheiner and J. Gurevitch. Oxford University Press, New York, NY, 289-307.
Ver Hoef, J. M., Cressie, N., Fisher, R. N., and Case, T. J. (2001). Uncertainty and spatial linear models for ecological data, in Spatial Uncertainty for Ecology, eds C. Hunsaker, M. Goodchild, M. Friedl, and T. Case. Springer-Verlag, New York, NY, 214-237.
Zhu, J., Lahiri, S. N., and Cressie, N. (2001). Asymptotic distribution of the empirical cumulative distribution function predictor under nonstationarity, in Spatial Statistics: Methodological Aspects and Applications, ed. M. Moore. Springer Lecture Notes in Statistics, No. 159, Springer, New York, NY, 1-20.
2000
Cressie, N. (2000). Geostatistical methods for mapping environmental exposures, in Spatial Epidemiology: Methods and Applications, eds P. Elliott, J.C. Wakefield, N.G. Best, and D.J. Briggs. Oxford University Press, Oxford, UK, 185-204.
Cressie, N. and Lawson, A. B. (2000). Hierarchical probability models and Bayesian analysis of mine locations. Advances in Applied Probability, 32, 315-330.
Cressie, N. and Pardo, L. (2000). Minimum Φ-divergence estimator and hierarchical testing in loglinear models. Statistica Sinica, 10, 867-884.
Cressie, N., Stern, H. S., and Wright, D. R. (2000). Mapping rates associated with polygons. Journal of Geographical Systems, 2, 61-69.
Cressie, N., Zhu, J., Baddeley, A. J., and Nair, M. G. (2000). Directed Markov point processes as limits of partially ordered Markov models. Methodology and Computing in Applied Probability, 2, 5-21.
Berliner, L. M., Wikle, C. K., and Cressie, N. (2000). Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling. Journal of Climate, 13, 3953-3968.
Huang, H. C. and Cressie, N. (2000). Deterministic/stochastic wavelet decomposition for recovery of signal from noisy data. Technometrics, 42, 262-276.
Huang, H. C. and Cressie, N. (2000). Asymptotic properties of maximum (composite) likelihood estimators for partially ordered Markov models. Statistica Sinica, 10, 1325-1344.
Kaiser, M. S. and Cressie, N. (2000). The construction of multivariate distributions from Markov random fields. Journal of Multivariate Analysis, 73, 199-220.
Lawson, A. B. and Cressie, N. (2000). Spatial statistical methods for environmental epidemiology, in Handbook of Statistics, Vol. 18: Bioenvironmental and Public Health Statistics, eds P.K. Sen and C.R. Rao. Elsevier, Amsterdam, NL, 357-396.
Stern, H. S. and Cressie, N. (2000). Posterior predictive model checks for disease mapping models. Statistics in Medicine, 19, 2377-2397.
Wikle, C. K. and Cressie, N. (2000). Space-time statistical modeling of environmental data, in Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing, eds H. T. Mowrer and R. G. Congalton. Ann Arbor Press, Chelsea, MI, 213-235.
1999
Cressie, N. (1999). Statistical analysis of data from a Geographic Information System, in GIS en Waarachtig! Proceedings of Symposium Statistische Software 1999. Geodan, Amsterdam, NL, 21-36.
Cressie, N. and Huang, H. C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94, 1330-1340. (Correction: 2001, Vol. 96, p. 784.)
Cressie, N., Kaiser, M. S., Daniels, M. J., Aldworth, J., Lee, J., Lahiri, S. N., and Cox, L. H. (1999). Spatial analysis of particulate matter in an urban environment, in geoENV II - Geostatistics for Environmental Applications, eds J. Gomez-Hernandez, A. Soares, and R. Froidevaux. Kluwer, Dordrecht, NL, 41-52.
Aldworth, J. and Cressie, N. (1999). Sampling designs and prediction methods for Gaussian spatial processes, in Multivariate Analysis, Design of Experiments, and Survey Sampling, ed. S. Ghosh. Marcel Dekker, New York, NY, 1-54.
Davidson, J., Cressie, N., and Hua, X. (1999). Texture synthesis and pattern recognition for partially ordered Markov models. Pattern Recognition, 32, 1475-1505.
Huang, H. C. and Cressie, N. (1999). Empirical Bayesian spatial prediction using wavelets, in Bayesian Inference in Wavelet Based Models, eds P. Mueller and B. Vidakovich. Springer Lecture Notes in Statistics, No. 141, Springer, New York, NY, 203-222.
Lahiri, S. N., Kaiser, M. S., Cressie, N., and Hsu, N. J. (1999). Prediction of spatial cumulative distribution functions using subsampling (with discussion and a rejoinder). Journal of the American Statistical Association, 94, 86-110.
Stern, H. S. and Cressie, N. (1999). Inference for extremes in disease mapping, in Disease Mapping and Risk Assessment for Public Health, eds A. Lawson et al. Wiley, Chichester, UK, 63-84.
Wikle, C. K. and Cressie, N. (1999). A dimension-reduced approach to space-time Kalman filtering. Biometrika, 86, 815-829.
1998
Cressie, N. (1998). Transect-spacing design of ice cores on the Antarctic continent. Canadian Journal of Statistics, 26, 405-418.
Cressie, N. (1998). Aggregation and interaction issues in statistical modeling of spatio-temporal processes. Geoderma, 85, 133-140.
Cressie, N. and Davidson, J. L. (1998). Image analysis with partially ordered Markov models. Computational Statistics and Data Analysis, 29, 1-26.
Cressie, N. and Davidson, J. L. (1998). Image processing. Entry in Encyclopedia of Statistical Sciences, Update Vol. 2, eds S. Kotz, C.B. Read, and D.L. Banks. Wiley, New York, NY, 314-328. (Republished in 2009 in Methods and Applications of Statistics in the Life and Health Sciences, ed. N. Balakrishnan. Wiley, Hoboken, NJ, 397-414.)
Cressie, N. and Morgan, P. B. (1998). Variable-sample-size sequential probability ratio test (VPRT). Entry in Encyclopedia of Statistical Sciences, Update Vol. 2, eds S. Kotz, C.B. Read, and D. L. Banks. Wiley, New York, NY, 691-699.
Cressie, N. and Wikle, C. K. (1998). The variance-based cross-variogram: You can add apples and oranges. Mathematical Geology, 30, 789-799.
Wikle, C. K., Berliner, L. M., and Cressie, N. (1998). Hierarchical Bayesian space-time models. Environmental and Ecological Statistics, 5, 117-154.
1997
Cressie, N. (1997). Jackknifing in the presence of inhomogeneity. Technometrics, 39, 45-51.
Cressie, N. and Aldworth, J. (1997). Spatial statistical analysis and its consequences for spatial sampling, in Geostatistics Wollongong '96, Vol. 1, eds E.Y. Baafi and N. A. Schofield. Kluwer, Dordrecht, NL, 126-137.
Cressie, N. and Majure, J. J. (1997). Spatio-temporal statistical modeling of livestock waste in streams. Journal of Agricultural, Biological, and Environmental Statistics, 2, 24-47.
Cressie, N. and Majure, J. J. (1997). Non-point-source pollution of surface waters over a watershed, in Statistics for the Environment 3: Pollution Assessment and Control, eds V. Barnett and K.F. Turkman. Wiley, Chichester, UK, 201-224.
Carroll, S.S. and Cressie, N. (1997). Spatial modeling of snow water equivalent using covariances estimated from spatial and geomorphic attributes. Journal of Hydrology, 190, 42-59.
Cook, D., Symanzik, J., Majure, J. J., and Cressie, N. (1997). Dynamic graphics in a GIS: More examples using linked software. Computers and Geosciences, 23, 371-385.
Helterbrand, J. D. and Cressie, N. (1997). Object identification using Markov random field segmentation models at multiple resolutions of a rectangular lattice, in Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions, eds T. Gregoire et al. Springer Lecture Notes in Statistics, No. 122, Springer, New York, NY, 159-173.
Kaiser, M. S. and Cressie, N. (1997). Modeling Poisson variables with positive spatial dependence. Statistics and Probability Letters, 35, 423-432.
Kaiser, M. S., Hsu, N. J., Cressie, N., and Lahiri, S. N. (1997). Inference for spatial processes using subsampling: A simulation study. Environmetrics, 8, 485-502.
Majure, J. J. and Cressie, N. (1997). Dynamic graphics for exploring spatial dependence in multivariate spatial data. Geographical Systems, 4, 131-158.
Morgan, P. B. and Cressie, N. (1997). A comparison of the cost-efficiencies of the sequential, group-sequential, and variable-sample-size-sequential probability ratio tests. Scandinavian Journal of Statistics, 24, 181-200.
Ver Hoef, J. M. and Cressie, N. (1997). Using hidden Markov chains and empirical Bayes change-point estimation for transect data. Environmental and Ecological Statistics, 4, 247-264.
1996
Cressie, N. (1996). Change of support and the modifiable areal unit problem. Geographical Systems, 3, 159-180.
Cressie, N. (1996). PIC: Power divergence information criterion, in Statistical Theory and Applications: Papers in Honor of Herbert A. David, eds H. N. Nagaraja, P. K. Sen, and D. F. Morrison. Springer, New York, NY, 3-14.
Cressie, N. (1996). Weighted jackknife variance estimation for functions of rates and proportions, in Research Developments in Probability and Statistics, eds E. Brunner and M. Denker. VSP International Science Publishers, Utrecht, NL, 343-352.
Cressie, N. and Hartfield, M. N. (1996). Conditionally specified Gaussian models for spatial statistical analysis of field trials. Journal of Agricultural, Biological, and Environmental Statistics, 1, 60-77.
Cressie, N. and Lahiri, S. N. (1996). Asymptotics for REML estimation of spatial covariance parameters. Journal of Statistical Planning and Inference, 50, 327-341.
Carroll, S.S. and Cressie, N. (1996). A comparison of geostatistical techniques used to estimate snow water equivalent. Water Resources Bulletin, 32, 267-278.
Cook, D., Majure, J.J., Symanzik, J., and Cressie, N. (1996). Dynamic graphics in a GIS: Exploring and analyzing multivariate spatial data using linked software. Computational Statistics, 11, 467-480.
Huang, H.C. and Cressie, N. (1996). Spatio-temporal prediction of snow water equivalent using the Kalman filter. Computational Statistics and Data Analysis, 22, 159-175.
1995
Cressie, N. (1995). Bayesian smoothing of rates in small geographic areas. Journal of Regional Science, 35, 659-673.
Cannon, A. and Cressie, N. (1995). Temporal analogues to spatial K functions. Biometrical Journal, 37, 351-373.
Carroll, S. S., Day, G. N., Cressie, N., and Carroll, T. R. (1995). Spatial modeling of snow water equivalent using airborne and ground-based snow data. Environmetrics, 6, 127-139.
Grondona, M. O. and Cressie, N. (1995). Residuals based estimators of the covariogram. Statistics, 26, 209-218.
Helterbrand, J. D., Davidson, J. L., and Cressie, N. (1995). Optimal closed boundary identification in gray-scale imagery. Journal of Mathematical Imaging and Vision, 5, 179-205.
1994
Cressie, N. (1994). Models for spatial processes, in Statistical Methods for Physical Science, eds J. Stanford and S. Vardeman. Academic Press, New York, NY, 93-124.
Cressie, N. (1994). Spatial chemostatistics, in Environmental Statistics, Assessment and Forecasting, eds C. R. Cothern and N. P. Ross. Lewis Publishers, Boca Raton, FL, 131-146.
Cressie, N. and Biele, J. (1994). A sample-size optimal Bayesian procedure for sequential pharmaceutical trials. Biometrics, 50, 700-711.
Cressie, N., Biele, J., and Morgan, P. B. (1994). Sample-size-optimal sequential testing. Journal of Statistical Planning and Inference, 39, 305-327.
Cressie, N. and Helterbrand, J. D. (1994). Multivariate spatial statistical models. Geographical Systems, 1, 179-188.
Helterbrand, J. D. and Cressie, N. (1994). Universal cokriging under intrinsic coregionalization. Mathematical Geology, 26, 205-226.
Helterbrand, J. D., Cressie, N., and Davidson, J. L. (1994). A statistical approach to identifying closed object boundaries in images. Advances in Applied Probability, 26, 831-854.
Rathbun, S. L. and Cressie, N. (1994). Asymptotic properties of estimators for the parameters of spatial inhomogeneous Poisson point processes. Advances in Applied Probability, 26, 122-154.
Rathbun, S. L. and Cressie, N. (1994). A space-time survival point process for a longleaf pine forest in southern Georgia. Journal of the American Statistical Association, 89, 1164-1174.
1993
Cressie, N. (1993). Aggregation in geostatistical problems, in Geostatistics Troia '92, Vol. 1, ed. A. Soares. Kluwer, Dordrecht, NL, 25-36.
Cressie, N. (1993). Regional mapping of incidence rates using spatial Bayesian models. Medical Care, 31, YS60-YS65.
Cressie, N. (1993). Geostatistics: A tool for environmental modelers, in Environmental Modeling with GIS, eds M. F. Goodchild, B. O. Parks, and L. T. Steyaert. Oxford University Press, Oxford, UK, 414-421.
Cressie, N. and Lahiri, S. N. (1993). The asymptotic distribution of REML estimators. Journal of Multivariate Analysis, 45, 217-233.
Cressie, N. and Morgan, P. B. (1993). The VPRT: A sequential testing procedure dominating the SPRT. Econometric Theory, 9, 431-450.
Cressie, N. and Ver Hoef, J. (1993). Spatial statistical analysis of environmental and ecological data, in Environmental Modeling with GIS, eds M. F. Goodchild, B. O. Parks, and L. T. Steyaert. Oxford University Press, Oxford, UK, 404-413.
Gotway, C. and Cressie, N. (1993). Improved multivariate prediction under a general linear model. Journal of Multivariate Analysis, 45, 56-72.
Grondona, M. O. and Cressie, N. (1993). Efficiency of block designs under stationary second-order autoregressive errors. Sankhya A, 55, 267-284.
Ver Hoef, J. M. and Cressie, N. (1993). Multivariable spatial prediction. Mathematical Geology, 25, 219-240. (Errata: 1994, Vol. 26, pp. 273-275.)
Ver Hoef, J. M. and Cressie, N. (1993). Spatial statistics: Analysis of field experiments, in Design and Analysis of Ecological Experiments, eds S. M. Scheiner and J. Gurevitch. Chapman and Hall, London, UK, 319-341.
Ver Hoef, J. M., Cressie, N., and Glenn-Lewin, D. C. (1993). Spatial models for spatial statistics: Some unification. Journal of Vegetation Science, 4, 441-452.
1992
Cressie, N. (1992). Smoothing regional maps using empirical Bayes predictors. Geographical Analysis, 24, 75-95.
Cressie, N. (1992). REML estimation in empirical Bayes smoothing of census undercount. Survey Methodology, 18, 75-94.
Cressie, N. and Hulting, F. L. (1992). A spatial statistical analysis of tumor growth. Journal of the American Statistical Association, 87, 272-283.
Cressie, N. and Lele, S. (1992). New models for Markov random fields. Journal of Applied Probability, 29, 877-884.
Cressie, N. and Zimmerman, D. L. (1992). On the stability of the geostatistical method. Mathematical Geology, 24, 45-59.
Zimmerman, D. L. and Cressie, N. (1992). Mean squared prediction error in the spatial linear model with estimated covariance parameters. Annals of the Institute of Statistical Mathematics, 44, 27-43.
1991
Cressie, N. (1991). Geostatistical analysis of spatial data, in Spatial Statistics and Digital Image Analysis. National Academy Press, Washington, DC, 87-108.
Cressie, N. and Dajani, A. (1991). Empirical Bayes estimation of U. S. undercount based on artificial populations. Journal of Official Statistics, 7, 57-67.
Grondona, M. O. and Cressie, N. (1991). Using spatial considerations in the analysis of experiments. Technometrics, 33, 381-392.
Medak, F. and Cressie, N. (1991). Confidence regions in ternary diagrams based on the power-divergence statistics. Mathematical Geology, 23, 1045-1057.
Nanayakkara, N. and Cressie, N. (1991). Combining two unbiased estimators of a common mean of two normal populations. Australian Journal of Statistics, 33, 43-56.
Nanayakkara, N. and Cressie, N. (1991). Robustness to unequal scale and other departures from the classical linear model, in Directions in Robust Statistics and Diagnostics, Part II, eds W. Stahel and S. Weisberg. IMA Volumes in Mathematics and its Applications, Vol. 34, Springer, New York, 65-113.
1990
Cressie, N. (1990). The origins of kriging. Mathematical Geology, 22, 239-252.
Cressie, N., Gotway, C. A., and Grondona, M. O. (1990). Spatial prediction from networks. Chemometrics and Intelligent Laboratory Systems, 7, 251-271.
Gotway, C. and Cressie, N. (1990). A spatial analysis of variance applied to soil-water infiltration. Water Resources Research, 26, 2695-2703.
1989
Cressie, N. (1989). The many faces of spatial prediction, in Geostatistics, Vol. 1, ed. M. Armstrong. Kluwer, Dordrecht, NL, 163-176.
Cressie, N. (1989). Ergodicity for time series and spatial processes. Journal of Statistical Computation and Simulation, 32, 61-63.
Cressie, N. (1989). Geostatistics. American Statistician, 43, 197-202.
Cressie, N. (1989). Empirical Bayes estimation of undercount in the Decennial Census. Journal of the American Statistical Association, 84, 1033-1044.
Cressie, N. and Chan, N. H. (1989). Spatial modeling of regional variables. Journal of the American Statistical Association, 84, 393-401.
Cressie, N. and Morgan, P. B. (1989). Design considerations for Neyman-Pearson and Wald hypothesis testing. Metrika, 36, 317-325.
Cressie, N. and Read, T. R. C. (1989). Cressie-Read statistic, entry in Encyclopedia of Statistical Sciences, Supplement Volume, eds S. Kotz and N. L. Johnson. Wiley, New York, 37-39.
Cressie, N. and Read, T. R. C. (1989). Pearson's X2 and the loglikelihood ratio statistic G2: A comparative review. International Statistical Review, 57, 19-43.
Cressie, N. and Read, T. R. C. (1989). Spatial data analysis of regional counts. Biometrical Journal, 31, 699-719.
Ruppert, D., Cressie, N. A. C., and Carroll, R. J. (1989). A transformation weighting model for estimating Michaelis-Menten parameters. Biometrics, 45, 637-656.
1988
Cressie, N. (1988). Variogram, entry in Encyclopedia of Statistical Sciences, Vol. 9, eds S. Kotz and N. L. Johnson. Wiley, New York, 489-491.
Cressie, N. (1988). Spatial prediction and ordinary kriging. Mathematical Geology, 20, 405-421. (Erratum: 1989, Vol. 21, pp. 493-494.)
Cressie, N. (1988). A graphical procedure for determining nonstationarity in time series. Journal of the American Statistical Association, 83, 1108-1116. (Correction: 1990, Vol. 85, p. 272.)
Cressie, N. (1988). When are census counts improved by adjustment? Survey Methodology, 14, 191-208.
Cressie, N. and Morgan, P. B. (1988). The VPRT: Optimal sequential and nonsequential testing, in Statistical Decision Theory and Related Topics IV, Vol. 2, eds S. S. Gupta and J. O. Berger. Springer, New York, 107-118.
Kernan, W. J., Mullenix, P. J., Kent, R., Hopper, D. L., and Cressie, N. A. C. (1988). Analysis of the time distribution and time sequence of behavioral acts. International Journal of Neuroscience, 43, 35-51.
1987
Cressie, N. (1987). A nonparametric view of generalized covariances for kriging. Mathematical Geology, 19, 425-449.
Cressie, N. (1987). Using the scan statistic to test for uniformity, in Goodness-of-Fit. Colloquia Mathematica Societatis Janos Bolyai, Vol. 45, eds P. Revesz et al. North Holland, Amsterdam, NL, 87-100.
Cressie, N. and Laslett, G. M. (1987). Random set theory and problems of modeling. SIAM Review, 29, 557-574.
Cressie, N. and Shaughnessy, P. (1987). Statistical methods for estimating numbers of Cape fur seal pups from aerial surveys. Marine Mammal Science, 3, 297-307.
Cressie, N. A. C. and Horton, R. (1987). A robust-resistant spatial analysis of soil-water infiltration. Water Resources Research, 23, 911-917.
1986
Cressie, N. (1986). Kriging nonstationary data. Journal of the American Statistical Association, 81, 625-634.
Cressie, N. and Borkent, M. (1986). The moment generating function has its moments. Journal of Statistical Planning and Inference, 13, 337-344.
Cressie, N. A. C. and Whitford, H. J. (1986). How to use the two sample t-test. Biometrical Journal, 28, 131-148.
Cressie, N. A. C., Withers, R. T., and Craig, N. P. (1986). The statistical analysis of somatotype data. Yearbook of Physical Anthropology, 29, 197-208.
Hamlett, J. M., Horton, R., and Cressie, N. A. C. (1986). Resistant and exploratory techniques for use in semivariogram analyses. Soil Science Society of America Journal, 50, 868-875.
1985
Cressie, N. (1985). Fitting variogram models by weighted least squares. Journal of the International Association for Mathematical Geology, 17, 563-586.
Cressie, N. (1985). When are relative variograms useful in geostatistics? Journal of the International Association for Mathematical Geology, 17, 693-702.
Cressie, N. and Read, T. R. C. (1985). Do sudden infant deaths come in clusters? Statistics and Decisions, Supplement Issue 2, 333-349.
Cressie, N. and Seheult, A. (1985). Empirical Bayes estimation in sampling inspection. Biometrika, 72, 451-458.
1984
Cressie, N. (1984). Towards resistant geostatistics, in Geostatistics for Natural Resources Characterization, Part 1, eds G. Verly et al. Reidel, Dordrecht, NL, 21-44.
Cressie, N. and Glonek, G. (1984). Median based covariogram estimators reduce bias. Statistics and Probability Letters, 2, 299-304.
Cressie, N. and Read, T. R. C. (1984). Multinomial goodness-of-fit tests. Journal of the Royal Statistical Society, Series B, 46, 440-464.
Cressie, N. A. C., Sheffield, L. J., and Whitford, H. J. (1984). Use of the one sample t-test in the real world. Journal of Chronic Diseases, 37, 107-114.
Hawkins, D. M. and Cressie, N. (1984). Robust kriging - a proposal. Journal of the International Association for Mathematical Geology, 16, 3-18.
1983
Cressie, N. (1983). Solving extrema problems in statistics by weighted sums. The Mathematical Scientist, 8, 103-113.
Cressie, N. and Holland, P. W. (1983). Characterizing the manifest probabilities of latent trait models. Psychometrika, 48, 129-141.
Keightley, D. D., Fisher, R. J., and Cressie, N. A. C. (1983). Properties and interpretation of the Woolf and Scatchard plots in analysing data from steroid receptor assays. Journal of Steroid Biochemistry, 19, 1407-1412.
1982
Cressie, N. (1982). A useful empirical Bayes identity. Annals of Statistics, 10, 625-629.
Cressie, N. (1982). Playing safe with misweighted means. Journal of the American Statistical Association, 77, 754-759.
Cressie, N. (1982). Empirical Bayes estimation for discrete distributions. South African Statistical Journal, 16, 25-37.
1981
Cressie, N. (1981). Transformations and the jackknife. Journal of the Royal Statistical Society, Series B, 43, 177-182.
Cressie, N. and Davis, R. W. (1981). The supremum distribution of another Gaussian process. Journal of Applied Probability, 18, 131-138.
Cressie, N., Davis, A. S., Folks, J. L., and Policello, G. E. II. (1981). The moment-generating function and negative integer moments. American Statistician, 35, 148-150.
Cressie, N. A. C. and Keightley, D. D. (1981). Analysing data from hormone-receptor assays. Biometrics, 37, 235-249.
1980
Cressie, N. (1980). Relaxing assumptions in the one sample t-test. Australian Journal of Statistics, 22, 143-153.
Cressie, N. (1980). M-estimation in the presence of unequal scale. Statistica Neerlandica, 34, 19-32.
Cressie, N. (1980). The asymptotic distribution of the scan statistic under uniformity. Annals of Probability, 8, 828-840.
Cressie, N. and Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12, 115-125.
Keightley, D. D. and Cressie, N. A. C. (1980). The Woolf plot is more reliable than the Scatchard plot in analysing data from hormone receptor assays. Journal of Steroid Biochemistry, 13, 1317-1323.
1979
Cressie, N. (1979). A central limit theorem for random sets. Zeitschrift fur Warhscheinlichkeitstheorie und verwandte Gebiete, 49, 37-47.
Cressie, N. (1979). An optimal statistic based on higher order gaps. Biometrika, 66, 619-627.
Cressie, N. (1979). A quick and easy empirical Bayes estimate of true scores. Sankhya B, 41, 101-108.
Cressie, N. A. C. and Keightley, D. D. (1979). The underlying structure of the direct linear plot with application to the analysis of hormone-receptor interactions. Journal of Steroid Biochemistry, 11, 1173-1180.
1978
Cressie, N. (1978). A strong limit theorem for random sets. Advances in Applied Probability (Supplement), 10, 36-46.
Cressie, N. (1978). Power results for tests based on high-order gaps. Biometrika, 65, 214-218.
Cressie, N. (1978). The exponential and power data transformations. The Statistician, 27, 57-60.
Cressie, N. (1978). Estimation of the integral of a stochastic process. Bulletin of the Australian Mathematical Society, 18, 83-93.
Cressie, N. (1978). A finely tuned continuity correction. Annals of the Institute of Statistical Mathematics, 30, 435-442.
Cressie, N. (1978). Testing for the equality of two binomial proportions. Annals of the Institute of Statistical Mathematics, 30, 421-427.
Cressie, N. A. C. (1978). Removing nonadditivity from two-way tables with one observation per cell. Biometrics, 34, 505-513.
1977
Cressie, N. (1977). On some properties of the scan statistic on the circle and the line. Journal of Applied Probability, 14, 272-283.
Cressie, N. (1977). The minimum of higher order gaps. Australian Journal of Statistics, 19, 132-143.
1976
Cressie, N. (1976). On the logarithms of high-order spacings. Biometrika, 63, 343-355.
1975
Cressie, N. (1975). A note on the behaviour of the stable distributions for small index α. Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete, 33, 61-64.
Lord, F. M. and Cressie, N. (1975). An empirical Bayes procedure for finding an interval estimate. Sankhya B, 37, 1-9.
1974
Cressie, N. (1974). A two-dimensional random walk in the presence of a partially reflecting barrier. Journal of Applied Probability, 11, 199-205.
Unrefereed Articles
- Books
- Refereed Articles
- Other Publications Publications (including Book Reviews, Comments, Interviews, etc.)
2022
Cressie, N., Bertolacci, M., and Zammit-Mangion, A. (2022). Spatio-temporal prediction of global carbon-dioxide fluxes at Earth’s surface using the fully Bayesian WOMBAT framework, in METMA X Proceedings of the 10th International Workshop on Spatio-Temporal Modelling (doi:10.21001/METMA_X).
Cressie, N., Jacobson, J., and Bertolacci, M. (2022). Release of Web-Project: Global CO2 Flux, showing CO2 flux inversions obtained using the fully Bayesian WOMBAT framework.
2012
Cressie, N., Mannshardt, E., and Kang, E. L. (2012). Release of Web-Project: Warming, showing projected temperature increases in North America in the period 2041-2070.
Bradley, J.R., Cressie, N., and Shi, T. (2012). Local spatial-predictor selection, in 2012 Proceedings of the Joint Statistical Meetings. American Statistical Association, Alexandra, VA, 3098-3110.
Sengupta, A., Cressie, N., Frey, R., and Kahn, B. (2012). Statistical modeling of MODIS cloud data using the Spatial Random Effects model, in 2012 Proceedings of the Joint Statistical Meetings. American Statistical Association, Alexandra, VA, 3111-3123.
2011
Cressie, N., Hoeting, J. A., Lele, S., McRoberts, R., Ogle, K., Smith, R., Stefanski, L., and Ziv, G. (2011). Measuring, monitoring and forecasting progress toward sustainability, in Mathematical and Statistical Challenges for Sustainability: Report of a Workshop held November 15-17, 2010. (18 pp.) American Mathematical Society, Providence, RI, 102-118.
Cressie, N. and Katzfuss, M. (2011). Release of Web-Project: CO2, in combination with release of Tutorial on Fixed Rank Kriging of CO2 data, showing global spatial and spatio-temporal statistical modeling and mapping of CO2.
Bradley, J.R., Cressie, N., and Shi, T. (2011). Selection of rank and basis functions in the spatial random effects model, in 2011 Proceedings of the Joint Statistical Meetings. American Statistical Association, Alexandria, VA, 3393-3406.
2010
Cressie, N. and Calder, C. A. (2010). Release of Web-Project: STB, showing statistical modeling and analysis of human-exposure pathways from sources to biomarkers.
Smith, R. and Cressie, N. (2010). Statistical interpolation methods; supplement to the White Paper, "Spatial and temporal interpolation of environmental data," written for the Workshop on Creating Surface Temperature Datasets to Meet 21st Century Challenges, Met Office Hadley Center, Exeter, UK, September 2010 (8 pp.)
(http://www.surfacetemperatures.org/whitepapers).
2009
Katzfuss, M. and Cressie, N. (2009). Maximum likelihood estimation of covariance parameters in the spatial-random-effects model, in 2009 Proceedings of the Joint Statistical Meetings. American Statistical Association, Alexandria, VA, 3378-3390.
2008
Cressie, N. and Kang, L. (2008). Soil mapping using spatial statistics: Kriging for very large datasets, in Proceedings of First Global Workshop on High Resolution Digital Soil Sensing and Mapping, Vol. I, Sydney, Australia (14 pp.).
2007
Calder, C.A. and Cressie, N. (2007). Some topics in convolution-based spatial modeling. Bulletin of the International Statistical Institute - LXII (Proceedings of the 56th Session of the International Statistical Institute, Lisbon, Portugal), 132-139.
Paul, R., Cressie, N., Buxton, B. E., Calder, C. A., Craigmile, P. F., Li, H., McMillan, N. J., Morara, M., Sanford, J., Santner, T. J., and Zhang, J. (2007). A Bayesian hierarchical model of arsenic exposure based on NHEXAS data: A comparison of US EPA Region 5 and Arizona, in 2007 Proceedings of the Joint Statistical Meetings. American Statistical Association, Alexandria, VA, 1055-1062.
Sain, S.R., Furrer, R., and Cressie, N. (2007). Combining regional climate model output via a multivariate Markov random field model. Bulletin of the International Statistical Institute - LXII (Proceedings of the 56th Session of the International Statistical Institute, Lisbon, Portugal), 1375-1382.
Shi, T. and Cressie, N. (2007). Data mining of MISR aerosol product using spatial statistics. Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining. IEEE Press, Piscataway, NJ, 712-719.
2006
Cressie, N. and Johannesson, G. (2006). Spatial prediction for massive datasets, in Mastering the Data Explosion in the Earth and Environmental Sciences: Proceedings of the Australian Academy of Science Elizabeth and Frederick White Conference. Australian Academy of Science, Canberra, Australia (11 pp.).
2005
Cressie, N. and Yao, Y. (2005). Release of Web-Project: TCO, showing spatial prediction of total column ozone over the globe using a fast multi-resolution spatial statistical model.
Cressie, N., Berliner, L. M., and Jezek, K. C. (2005). Release of Web-Project: Ice Streams, in combination with release of Tutorial on Bayesian Statistics for Geophysicists, showing physical-statistical modeling of ice-stream dynamics.
Berliner, L. M., Cressie, N., Jezek, K., Kim, Y., and Lam, C. Q. (2005). Hierarchical Bayesian modeling of the movement of ice streams, in Statistical Solutions to Modern Problems: Proceedings of the 20th International Workshop on Statistical Modelling, Sydney, Australia, July 10-15, 2005, eds A. R. Francis, K. M. Matawie, A. Oschlack, and G. K. Smyth, 3-15.
Ganguly, A. R., Hsing, T., Katz, R., Erickson, D. J., Ostrouchov, G., Wilbanks, T. J., and Cressie, N. (2005). Multivariate dependence among extremes, abrupt change, and anomalies in space and time for climate applications, in Proceedings of the International Workshop on Data Mining Methods for Anomaly Detection, eds D. Margineantu, S. Bay, P. Chan, and T. Lane, 25-26.
2004
Cressie, N. and Irwin, M. (2004). Release of Web-Project: ENSO, showing long-lead forecasting of Tropical Pacific sea surface temperature anomalies.
2003
Cressie, N., Wendt, D., Johannesson, G., Mugglin, A., and Hrafnkelsson, B. (2003). A spatial-temporal statistical approach to problems in command and control, in Proceedings of the Sixth Annual US Army Conference on Applied Statistics 2000, Army Research Laboratory, eds B. Bodt and E. Wegman, 170-190.
Johannesson, G., Cressie, N., and Huang, H.-C. (2003). Dynamic multi-resolution spatial models, in Proceedings of AIC2003: Science of Modeling, eds T. Higuchi, Y. Iba, and M. Ishiguro. Institute of Statistical Mathematics, Tokyo, Japan, 167-174.
2002
Pavlicova, M., Cressie, N., and Santner, T. J. (2002). Using enhanced FDR for simultaneous thresholding of FMRI data, in 2002 Proceedings of the Joint Statistical Meetings, Biometrics Section. American Statistical Association, Alexandria, VA, 2653-2658.
Sain, S. and Cressie, N. (2002). Multivariate lattice models for spatial environmental data, in 2002 Proceedings of the Joint Statistical Meetings, Section on Statistics and the Environment. American Statistical Association, Alexandria, VA, 2820-2825.
2001
Cressie, N. and Johannesson, G. (2001). Space-time modeling of total column ozone (TCO) satellite data: Exploratory analysis in a multiresolution context, in Proceedings of the First Spanish Workshop on Spatio-Temporal Modelling of Environmental Processes (METMA). Benicassim, Castellon, Spain, 41-49.
Cressie, N. and Ver Hoef, J. M. (2001). Multivariate geostatistics for precision agriculture (with discussion). Bulletin of the International Statistical Institute, Invited Papers Volume 59, Book 1, 407-410.
Wendt, D., Cressie, N., and Johannesson, G. (2001). A spatial-temporal statistical approach to command and control problems in battle-space digitization, in Battlespace Digitization and Network-Centric Warfare, ed. R. Suresh. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 439. SPIE, Bellingham, WA, 232-243.
2000
Cressie, N. (2000). Position paper: Workshop on Hierarchical Modeling in Environmental Statistics (Columbus, OH, May 14-16, 2000). Available at URL, http://www.stat.ohio-state.edu/~sses/WS2K/
Cressie, N. (2000). Spatial statistics and environmental sciences, in 2000 Proceedings of the Section on Statistics and the Environment. American Statistical Association, Alexandria, VA, 1-10.
Cressie, N. and Mugglin, A. S. (2000). Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data, in Compstat. Proceedings in Computational Statistics, eds J. G. Bethlehem and P. G. M. van der Heijden. Physica-Verlag, Heidelberg, DE, 41-52.
1999
Gabrosek, J., Cressie, N., and Huang, H. C. (1999). Spatio-temporal prediction of level 3 data for NASA's earth observing systems, in Spatial Accuracy Assessment: Land Information Uncertainty in Natural Resources, eds K. Lowell and A. Jaton. Ann Arbor Press, Chelsea, MI, 331-337.
1998
Cressie, N. and Lawson, A. B. (1998). Bayesian hierarchical analysis of minefield data, in Detection and Remediation Technologies for Mines and Minelike Targets III, eds A.C. Dubey, J.F. Harvey, and J.T. Broach. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 3392. SPIE, Bellingham, WA, 930-940.
1997
Cressie, N. and Lawson, A. B. (1997). Models and inference for clustering of locations of mines and minelike objects, in Detection and Remediation Technologies for Mines and Minelike Targets II, eds A.C. Dubey and R.L. Barnard. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 3079. SPIE, Bellingham, WA, 519-530.
Aldworth, J. and Cressie, N. (1997). Comparison of spatial cumulative distribution function predictors of a spatial process sampled with measurement error, in 1997 Proceedings of the Section on Statistics and the Environment. American Statistical Association, Alexandria, VA, 43-48.
Hua, X., Davidson, J.L., and Cressie, N. (1997). Mine boundary detection using partially ordered Markov Models, in Statistical and Stochastic Methods in Image Processing II, eds F. Preteux, J. L. Davidson, and E.R. Dougherty. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 3167. SPIE, Bellingham, WA, 152-163.
Huang, H.C. and Cressie, N. (1997). Multiscale spatial modeling, in 1997 Proceedings of the Section on Statistics and the Environment. American Statistical Association, Alexandria, VA, 49-54.
1996
Cressie, N. (1996). Statistical modeling of environmental data in space and time, in Spatial Accuracy Assessment in Natural Resources and Environmental Sciences: Second International Symposium, eds H.T. Mowrer, R.L. Czaplewski, and R.H. Hamre. General Technical Report RM-GTR-277, USDA Forest Service, Fort Collins, CO, 1-3.
Cressie, N., Olsen, A., and Cook, D. (1996). Massive data sets: Problems and possibilities with application to environmental modeling, in Massive Data Sets: Proceedings of a Workshop. National Academy Press, Washington, DC, 115-119.
Majure, J.J., Cook, D., Cressie, N., Kaiser, M., Lahiri, S., and Symanzik, J. (1996). Spatial CDF estimation and visualization with applications to forest health monitoring. Computing Science and Statistics, 27, 93-101.
Majure, J.J., Cressie, N., Cook, D., and Symanzik, J. (1996). GIS, spatial statistical graphics, and forest health, in Proceedings of Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21-26, 1996. National Center for Geographic Information and Analysis. Santa Barbara, CA. Available on CD and at URL http://escholarship.org/uc/item/43x094z3.pdf.
1995
Hua, X., Davidson, J. L., and Cressie, N. (1995). Mine boundary detection using Markov random field models, in Detection Technologies for Mines and Minelike Targets. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 2496. SPIE, Bellingham, WA, 626-636.
Stern, H.S. and Cressie, N. (1995). Bayesian and constrained Bayesian inference for extremes in epidemiology, in 1995 Proceedings of the Section on Epidemiology. American Statistical Association, Alexandria, VA, 11-20.
1994
Cook, D., Cressie, N., Majure, J., and Symanzik, J. (1994). Some dynamic graphics for spatial data (with multiple attributes) in a GIS, in Compstat '94. Proceedings of 11th Symposium, Vienna, Austria, eds R. Dutter and W. Grossman. Physica-Verlag, Heidelberg, DE, 105-119.
Davidson, J. L., Talukder, A., and Cressie, N. (1994). Texture analysis using partially ordered Markov models, in Proceedings of International Conference on Image Processing (ICIP-94), Vol. III. IEEE Computer Society Press, Los Alamitos, CA, 402-406.
Symanzik, J., Majure, J., Cook, D., and Cressie, N. (1994). Dynamic graphics in a GIS: A link between ARC/INFO and Xgobi. Computing Science and Statistics, 26, 431-435.
1993
Cressie, N. (1993). Spatial prediction in a multivariate setting, in Multivariate Environmental Statistics, eds G. P. Patil and C. R. Rao. North Holland, New York, NY, 99-107.
Davidson, J. L. and Cressie, N. (1993). Markov pyramid models in image analysis, in Image Algebra and Morphological Image Processing IV, eds E. R. Dougherty, P. D. Gader, and J. C. Serra. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 2030. SPIE, Bellingham, WA, 179-190.
Helterbrand, J. D. and Cressie, N. A. C. (1993). Stochastic recognition of closed object boundaries in images, in Image Algebra and Morphological Image Processing IV, eds E. R. Dougherty, P. D. Gader, and J. C. Serra. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 2030. SPIE, Bellingham, WA, 240-251.
Majure, J. J. and Cressie N. (1993). Explore: Exploratory spatial data analysis in ARC/INFO, in Proceedings of the Thirteenth Annual ESRI User Conference, Vol. 1. Environmental Systems Research Institute, Redlands, CA, 277-281.
1992
Cressie, N. and Grondona, M. O. (1992). A comparison of variogram estimation with covariogram estimation, in The Art of Statistical Science, ed. K. V. Mardia. Wiley, Chichester, UK, 191-208.
1991
Cressie, N. (1991). Modeling growth with random sets, in Spatial Statistics and Imaging (Proceedings of the 1988 AMS-IMS-SIAM Joint Summer Research Conference), ed. A. Possolo. Institute of Mathematical Statistics, Hayward, CA, 31-45.
Cressie, N. (1991). Small-area prediction of undercount using the general linear model. Proceedings of the 1990 Symposium on the Measurement and Improvement of Data Quality. Statistics Canada, Ottawa, 93-105.
Davidson, J. L. and Cressie, N. A. C. (1991). Statistical image algebra: A Bayesian approach, in Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, ed. S. S. Chen. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 569. SPIE, Bellingham, WA, 288-297.
1990
Cressie, N. (1990). Weighted smoothing of estimated undercount. Proceedings of Bureau of the Census 1990 Annual Research Conference. US Bureau of the Census, Washington, DC, 301-325.
1988
Cressie, N. (1988). Estimating census undercount at national and subnational levels with discussion. Proceedings of Bureau of the Census Fourth Annual Research Conference. US Bureau of the Census, Washington, DC, 123-150.
1987
Cressie, N. (1987). Estimating undercount in the U. S. Decennial Census. Bulletin of the International Statistical Institute, 52, Contributed Papers Volume, 85-86.
Cressie, N. (1987). Spatial data analysis and modeling of regional variables, in 1987 Sino-American Statistical Meeting, Beijing, Contributed Papers Volume, 108-111.
Cressie, N. (1987). Spatial prediction and site selection. Proceedings of ASA/ EPA Conferences on Interpretation of Environmental Data. III Sampling and Site Selection in Environmental Studies. Environmental Protection Agency, Washington, DC, 25-30.
Cressie, N. A. C. and Guo, R. (1987). Mapping variables, in Proceedings of the NCGA Conference, Computer Graphics '87, Vol. III. National Computer Graphics Association, McLean, VA, 521-530.
1985
Cressie, N. (1985). A geostatistical analysis of the Mercer and Hall wheat data. Bulletin of the International Statistical Institute, 51, Contributed Papers Volume, 277-278.
Cressie, N. (1985). The underlying structure of empirical Bayes methods. Rassegna di Metodi Statistici ed Applicazioni, 5, 19-31.
Cressie, N. (1985). Kriging nonstationary data, in Proceedings of the 1985 Meeting of the Italian Statistical Society on Statistics and Natural Resources, 35-66.
1984
Cressie, N. (1984). Modelling sets, in Multifunctions and Integrands, ed. G. Salinetti. Springer Lecture Notes in Mathematics, No. 1091, Springer, New York, NY, 138-149.
1982
Cressie, N. (1982). Empirical Bayes estimation in quality control. Rassegna di Metodi Statistici ed Applicazioni, 2, 57-77.
1981
Cressie, N. (1981). How useful are asymptotic results in extrema problems? Bulletin of the International Statistical Institute, 49, Contributed Papers Volume, 53-56.
Keightley, D. D. and Cressie, N. A. C. (1981). Analysis of hormone receptor assay data by Scatchard, Reciprocal, and Woolf plots (with discussion), in Estrogen Receptor Assays in Breast Cancer, eds G. A. Sarfarty et al. Masson, New York, 210-224.
1979
Cressie, N. (1979). Straight line fitting and variogram estimation (with discussion). Bulletin of the International Statistical Institute, 48, Book 3, 573-580.
1977
Cressie, N. (1977). Clustering on the circle. Bulletin of the International Statistical Institute, 47, Book 4, 124-127.
Other Publications (including Book Reviews, Comments, Interviews, etc.)
2024
Article: Space, uncertainty, and the environment: honouring the distinguished career of Noel Cressie, by Alfred Stein and Christopher K. Wikle. Spatial Statistics, 61, 100835 (2024) (doi:10.1016/j.spasta.2024.100835).
2023
Bibliographic entry on Noel A.C. Cressie, by Jay M. Ver Hoef, in Encyclopedia of Mathematical Geosciences, eds B. S. Daya Sagar, Q. Cheng, J. McKinley, and F. Agterberg. Springer, Cham, CH, pp. 214-215 (2023) (doi:10.1007/978-3-030-26050-7_388-2).
Bibliographic entry on Geoffrey. S. Watson, by N. Cressie and C. A. Gotway Crawford, in Encyclopedia of Mathematical Geosciences, eds B. S. Daya Sagar, Q. Cheng, J. McKinley, and F. Agterberg. Springer, Cham, CH, pp.1625-1626 (2023) (doi:10.1007/978-3-030-26050-7_369-1).
Robodebt not only broke the laws of the land it also broke laws of mathematics, by N. Cressie, in The Conversation (17 March 2023) (https://theconversation.com/robodebt-not-only-broke-the-laws-of-the-land-it-also-broke-laws-of-mathematics-201299).
Submission to the Royal Commission Enquiry into the Robodebt Scheme, by N. Fisher, D. Trewin, and N. Cressie, published online and listed in the Royal Commission Report, 07 July 2023 (https://robodebt.royalcommission.gov.au/publications/anon-24kg-9sa8-w-and-ano999900010097).
World's best statistical practice saves lives, by D. Trewin, N. Fisher, and N. Cressie. Submission to Australian Government COVID-19 Response Inquiry, Prime Minister and Cabinet (3 pp.), 05 December 2023.
2022
Comment: Nonparametric empirical Bayes prediction, by N. Cressie, a comment on JASA Theory and Methods 2022 Invited Paper “Nonparametric empirical Bayes analysis” by Nikolaos Ignatiadis and Stefan Wager. Journal of the American Statistical Association, 117, 1167-1170 (2022) (doi:10.1080/01621459.2022.209604)
2021
Computing for net zero: how digital technology can create a ‘control loop for the protection of the planet’, by Andy Hopper and 16 co-contributors, including N. Cressie. Briefing 2 of Climate Change: Science and Solutions. Royal Society: London, UK (12pp.) (2021).
2020
Comment: When is it data science and when is it data engineering? by N. Cressie, a comment on “Prediction, estimation, and attribution” by Bradley Efron. Journal of the American Statistical Association, 115, 660-662 (2020).
2019
Comment by N. Cressie, on “Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view” by S. Castruccio, M.G. Genton, and Y. Sun. Journal of the Royal Statistical Society, Series A, 182, 429 (2019).
Interview of N. Cressie: “A conversation with Noel Cressie” by Christopher K. Wikle and Jay M. Ver Hoef. Statistical Science, 34, 349-359 (2019).
2018
Interview of N. Cressie: ABC Illawarra, 25 May 2018, “Election to Fellowship of the Australian Academy of Science” (2018) (https://documents.uow.edu.au/content/groups/public/@web/@inf/@math/documents/mm/uow248157.zip).
2017
A Common Task Framework (CTF) for objective comparison of spatial prediction methodologies, by C. K. Wikle, N. Cressie, A. Zammit-Mangion, and C. Shumack. Stats & Data Science Views, Wiley, Chichester, UK (2017)
(https://www.statisticsviews.com/article/a-common-task-framework-ctf-for-objective-comparison-of-spatial-prediction-methodologies/).
Summary of “Workshop on Spatial and Spatio-Temporal Design and Analysis for Official Statistics,” by S. H. Holan, N. Cressie, C. K. Wikle, J. R. Bradley, and M. Simpson. NSF-Census Research Network report, archived at Cornell University Library (5 pp.) (2017).
A new map of global Ecological Marine Units: An environmental stratification approach, by R. Sayre (and 31 co-authors, including N. Cressie), a Special Publication of the American Association of Geographers, Washington, DC, USA (35 pp.) (2017).
Uncertainty, Statistical Science, and Black Swans, by N. Cressie. Stats & Data Science Views, Wiley, Chichester, UK (2017) (https://www.statisticsviews.com/article/uncertainty-statistical-science-and-black-swans/).
2016
Poster: Bivariate modelling of poverty and unemployment in Missouri, by R. McDonald, A. Zammit-Mangion, and N. Cressie, presented at the Workshop on Spatial and Spatio-Temporal Design and Analysis for Official Statistics, May 2016, Columbia, MO, USA (2016).
Interview of N. Cressie: ABC Illawarra, Friday, 17 June, 2016 “OCO-2 Update”
(https://documents.uow.edu.au/content/groups/public/@web/@inf/@math/documents/mm/uow217702.mp3) (2016).
Poster: Quantifying weights for fitting an errors-in-variables model to TCCON and OCO-2 calibration data, by B. Zhang, N. Cressie, and D. Wunch, presented at OCO-2 Science Team Meeting, October 2016, Boulder, CO, USA (2016).
2015
Comment: Capturing multivariate spatial dependence: Model, estimate, and then predict, by N. Cressie, S. Burden, W. Davis, P. Krivitsky, P. Mokhtarian, T. Seusse, and A. Zammit-Mangion, a comment on “Cross-covariance functions for multivariate geostatistics” by M. G. Genton and W. Kleiber. Statistical Science, 30, 170-175 (2015).
Comment: Spatial sampling designs depend as much on “how much?” and “why?” as on “where?”, by N. Cressie and R.L. Chambers, a comment on “Optimal design in geostatistics under preferential sampling” by G. da Silva Ferreira and D. Gamerman. Bayesian Analysis, 10, 741-748 (2015).
Poster: 95% prediction regions: Multivariate uncertainty quantification for retrieved atmospheric states, by N. Cressie and S. Burden, presented at the Eleventh International Workshop on Greenhouse Gas Measurements from Space, June 2015, Pasadena, CA, USA (IWGGMS-11) (2015)
(https://sites.google.com/site/iwggms11/home/upload-talks-here).
Interview of N. Cressie: “Measuring and mapping sources and sinks of carbon dioxide in the atmosphere,” in ArcWatch, August 2015
(https://www.esri.com/esri-news/arcwatch/0815/measuring-and-mapping-sources-and-sinks-of-co2-in-the-atmosphere).
2014
Interview of A. Braverman and N. Cressie: “The search for CO2: NASA to launch satellite to map sources and sinks,” in Biometric Bulletin, Vol. 31, Issue 1, January-March 2014.
Interview of N. Cressie: ABC Radio National’s Drive program with Waleed Aly, Thursday, 3 July 2014, “NASA satellite to search for climate change clues”
(https://www.abc.net.au/radionational/programs/drive/nasa-satellite-to-search-for-climate-change-clues/5570044)
Interview of N. Cressie: ABC Illawarra with Nick Rheinberger, Friday, 4 July 2014, “UOW and NASA unite for carbon dioxide counting mission”
(http://soundcloud.com/uow-2/professor-noel-cressie-talks-to-abc-illawarra).
Interview of N. Cressie: Australian Broadcasting Corporation’s “StarStuff,” Wednesday, 9 July 2014, “NASA launches satellite to monitor Earth’s CO2”
(http://www.abc.net.au/science/starstuff/).
Working Paper: Visualizing massive spatial datasets using multi-resolution global grids, by T. Stough, A. Braverman, N. Cressie, E. Kang, A. Michalak, H. Nguyen, and K. Sahr. NIASRA Working Paper 05-14 (24 pp.) (2014).
White Paper: Statistical science: Contributions to the administration’s research priority on climate change, by B. Sanso et al. (11 co-authors, including N. Cressie), written by the American Statistical Association’s Advisory Committee for Climate Change Policy, April 2014 (5 pp.).
2013
Interview of N. Cressie: "Award-winning Wiley author takes on statistical role at NASA,” in Stats & Data Science Views, John Wiley and Sons (2013)
(https://www.statisticsviews.com/award-winning-wiley-author-takes-on-statistical-role-at-nasa/)
Interview: “Spatio-Temporal Statistics as its own discipline: Noel Cressie and Christopher Wikle on their award-winning collaboration,” in Stats & Data Science Views, John Wiley and Sons (2013)
(https://www.statisticsviews.com/article/spatio-temporal-statistics-as-its-own-discipline-noel-cressie-christopher-wikle-on-their-award-winning-collaboration/).
Blog: Hierarchical spatio-temporal models and survey research, by C.K. Wikle, S.H. Holan, and N. Cressie, in Stats & Data Science Views, John Wiley and Sons (2013)
(https://www.statisticsviews.com/article/hierarchical-spatio-temporal-models-and-survey-research/)
Column: How can survey estimates of small areas be improved by leveraging social-media data?, by N. Cressie, S.H. Holan, and C.K.Wikle. Ask the Expert Column, in The Survey Statistician, Newsletter of the International Association of Survey Statisticians, No. 68, July 2013, pp. 14-15 (2013).
Interview of N. Cressie: methods.blog, the official blog of Methods in Ecology and Evolution, published by the British Ecological Society (2013)
(https://www.youtube.com/watch?v=kCIxA1pkiOM).
Technical Brief: Spatial statistical data fusion (SSDF), on work by A. Braverman, N. Cressie, and H. Nguyen. NASA Tech Briefs, 37, November 2013
(http://www.techbriefs.com).
Foreword: Spatio-Temporal Design: Advances in Efficient Data Acquisition, eds J. Mateu and W. Müller. Wiley, Chichester, UK, pp. xix-xx (2013).
2012
Perspectives in statistics for young statisticians, by N. Cressie. Statistical Society of Australia, Inc. (SSAI) Newsletter, September 2012, 22-23 (2012).
Thoughts on Bayesian statistical inference for regional climate projections in North America, by N. Cressie. SAMSI Blog (2012)
(http://samsiatrtp.wordpress.com/category/author-names/noel-cressie/).
2011
Comment, by N. Cressie, a comment on “Spatial prediction in the presence of positional error” by T.R. Fanshawe and P.J. Diggle. Environmetrics, 22, 125-126 (2011).
Editorial: Special issue on time series in the environmental sciences, by N. Cressie and S.H. Holan. Journal of Time Series Analysis, 32, 337-338 (2011).
Tutorial on Fixed Rank Kriging (FRK) of CO2 data, by M. Katzfuss and N. Cressie. Department of Statistics Technical Report No. 858, The Ohio State University, Columbus, OH (23 pp.) (2011).
Tribute to Julian Besag, 1945-2010: A tribute by N. Cressie (2011)
(http://sustain.bris.ac.uk/JulianBesag/tributes/Oxford.html).
2010
Comment: Statistical dependence in stream networks, by N. Cressie and D. O’Donnell, a comment on “A moving average approach for spatial statistical models for stream networks” by J. Ver Hoef and E. Peterson. Journal of the American Statistical Association, 105, 18-21 (2010).
Comment: Hierarchical statistical modeling for paleoclimate reconstruction, by N. Cressie and M. P. Tingley, a comment on “The value of multi-proxy reconstruction of past climate” by B. Li, D. Nychka, and C. Ammann. Journal of the American Statistical Association, 105, 895-900 (2010).
White Paper: Spatial and temporal interpolation of environmental data, by T. Smith, P. Jones, E. Kent, M. Cox, N. Cressie, D. Dee, and R. Smith, written for the Workshop on Creating Surface Temperature Datasets to Meet 21st Century Challenges, Met Office Hadley Centre, Exeter, UK, September 2010 (8 pp.) (2010).
(http://www.surfacetemperatures.org/whitepapers).
White Paper: The (statistical) science of sustainability, by N. Cressie, written for the Workshop on Mathematical Challenges for Sustainability, DIMACS Center, Rutgers University, NJ, November 2010 (4 pp.) (2010).
2009
Where, When, and then Why, 2009 Fisher Lecture given by Noel Cressie, at the Joint Statistical Meetings, Washington DC, August 2009
Statistical Counterpoint, by N. Cressie, O. Ahlqvist, H. Ban, and the Synchronous Objects team, one of the Synchronous Objects for “One Flat Thing, reproduced,” a webpage showing visualization/animation of dance (2009)
“Noel Cressie on Dance and Statistics,” a blog on Synchronous Objects for “One Flat Thing, reproduced” (2009)
(http://synchronousobjects.osu.edu/blog/2009/03/noel-cressie-on-dance-and-statistics/).
2007
Comment on “Modern statistics for spatial point processes” by J. Moller and R. Waagepetersen. Scandinavian Journal of Statistics, 34, 690-691 (2007).
2004
Comment on “Markov chain Monte Carlo methods for high dimensional inversion in remote sensing” by H. Haario et al. Journal of the Royal Statistical Society B, 66, 638 (2004).
2003
El Niño forecasting using Hierarchical Dynamic (HiDyn) Models: A web-based product. The International Environmetrics Society (TIES) Newsletter, Vol. 9, November 2003, pp. 15, 16 (2003).
Modifying the FDR procedure for use with FMRI data, by M. Pavlicova, N. Cressie, T. J. Santner, and A. Algaze. NeuroImage, 19, S919 (2003), where notice of the poster presentation appears under the title, “Using enhanced FDR to find activation in FMRI images.” (2003)
2002
Environmental Data Seminar at The Ohio State University. The International Environmetrics Society (TIES) Newsletter, Vol. 8, May 2002, pp. 10, 11.
The perspective of quantitative science in the debate about environmental degradation: Panel discussion. TIES Newsletter, Vol. 8, November 2002, pp. 10, 11.
Directed Markov point processes – characterisation and construction, by A. J. Baddeley, M. G. Nair, and N. Cressie. Department of Statistics Technical Report No. 693, The Ohio State University, Columbus, OH (29 pp.) (2002).
2000
Environmental and spatial statistical research at The Ohio State University, Newsletter of the American Statistical Association Section on Statistics and the Environment, Vol. 4, Summer 2000, pp. 5, 7.
Spatial statistics in the Life and Medical Sciences. Biostatistics Newsletter, The Ohio State University (2000).
Workshop on Hierarchical Modeling in Environmental Statistics. The International Environmetrics Society (TIES) Newsletter, Vol. 6, August 2000, p. 9.
Workshop on Hierarchical Modeling in Environmental Statistics (joint with T. Gregoire). Amstat News, July 2000, p. 51.
1999
Letter to the Editor. American Journal of Human Biology, 11, 433-434 (1999).
Environmental statistics at The Ohio State University. Newsletter of the American Statistical Association Section on Statistics and the Environment, Vol. 3, Summer 1999, p. 3.
ENVR committee structure. Amstat News, November 1999, p. 46.
1998
Letter to the Editor. American Journal of Human Biology, 10, 1-2 (1998).
Comment on “Model-based geostatistics” by P.J. Diggle, J.A. Tawn, and R.A. Moyeed. Applied Statistics, 47, p. 335 (1998).
Obituary (joint with C. G. Crawford): Geoffrey S. Watson, 1921-1998. International Association for Mathematical Geology Newsletter, No. 56, June 1998, p. 9.
Book review (joint with J. Symanzik) of “Variowin - Software for Spatial Data Analysis in 2D” by Y. Pannatier. Computational Statistics, 13, 419-422 (1998).
Environmental statistics and ENVR. Newsletter of American Statistical Association Section on Statistics and the Environment, Vol. 2, (1998).
ENVR 1998 award recipients and newsletter. Amstat News, August/September 1998, p. 29.
ENVR - The year in review. Amstat News, December 1998, p. 42.
Comment (joint with C.K. Wikle) on: Strategies for dynamic space-time statistical modeling: discussion of “The kriged Kalman filter” by K.V. Mardia, C. Goodall, E. Redfern, and F.J. Alonso. Test, 7, 257-264 (1998).
Abstract (joint with J. Gabrosek and H. Huang): Spatial data analysis, statistical modeling and spatial prediction of earth’s total column ozone. Computing Science and Statistics, 30, p. 42 (1998).
1997
Book review of “Introduction to Disjunctive Kriging and Nonlinear Geostatistics” by J. Rivoirard. SIAM Review, 39, 337-340 (1997).
Cook, D., et al. (6 co-authors, including Cressie, N.). Exploring associations among mid-Atlantic stream indicators using dynamic multivariate graphics and geographic mapping in a highly immersive virtual reality environment. Computing Science and Statistics, 29, 220 (1997).
Comment on “Trends in ozone exposure and population density in Harris County, Texas” by R. J. Carroll, R. Chen, T. H. Li, H. J. Newton, H.Schmiediche, N. Wang, and E. I. George. Journal of the American Statistical Association, 92, 411-413 (1997).
Comment on “Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil” by D.J. Brus and J.J. de Gruijter. Geoderma, 80, 51-52 (1997).
Comment (joint with H.C. Huang) on “On Bayesian analysis of mixtures with an unknown number of components” by S. Richardson and P.J. Green. Journal of the Royal Statistical Society B, 59, 777 (1997).
Reply (joint with S.S. Carroll) to Discussion by David C. Garen, of “A comparison of geostatistical methodology used to estimate snow water equivalent” by S.S. Carroll and N. Cressie, Journal of the American Water Resources Association, 33, 221-222 (1997).
Environmental statistics at Iowa State University. Newsletter of American Statistical Association Section on Statistics and the Environment, Vol. 1, (1997).
American Statistical Association Section on Statistics and the Environment: Strategic plan review. Amstat News, November 1997, 27-28.
1995
Book review of “Optimally Sequentially Planned Decision Procedures” by N. Schmitz. Metrika, 42, 141-143 (1995).
1994
Comment (joint with M. S. Kaiser) on “Small area estimation: An appraisal” by M. Ghosh and J. N. K. Rao. Statistical Science, 9, 76-80 (1994).
Comment on “An approach to statistical spatial-temporal modeling of meteorological fields” by M. S. Handcock and J.R. Wallis. Journal of the American Statistical Association, 89, 379-382 (1994).
Editorial: Limits of detection. Chemometrics and Intelligent Laboratory Systems, 22, 161-163 (1994).
1992
Report to Environmental Protection Agency (joint with L. Young, W. S. Liggett, R. J. Little, and J. H. Matis); “Review of EMAP Statistics and Design, Review Meeting Held November 4-6, 1991, San Francisco, California” (20 pp.) (1992).
Comment on “Should we have adjusted the Census of 1980?” by D. A. Freedman and W. C. Navidi. Survey Methodology, 18, 32-34 (1992).
1991
Book review of “Robust Estimation and Testing” by R. G. Staudte and S. J. Sheather. Mathematical Reviews, 91, 3307-3308 (1991).
Response (joint with D. Ruppert and R. Carroll) to “Generalized Linear Models for Enzyme Kinetic Data” by J. A. Nelder. Biometrics, 47, 1610-1615 (1991).
Produced and participated in one-hour videotape, “Oscar Kempthorne: From Observation to Inference,” for American Statistical Association Committee for the Filming of Distinguished Statisticians (1991)
(https://www.youtube.com/watch?v=59TjKM8s_dA, https://www.youtube.com/watch?v=PgfmoO1YQDo, https://www.youtube.com/watch?v=01YUnb2JPfA, https://www.youtube.com/watch?v=umZK3gnPnec, https://www.youtube.com/watch?v=hUKkuTeQk4E)
First International Conference/Workshop on Integrating Geographic Information Systems and Environmental Modeling. Amstat News, December 1991, 21 (1991).
Hierarchical testing of parametric models using the power-divergence family of test statistics, by F. M. Medak and N. Cressie. Statistical Laboratory Preprint, No. 91-14, Iowa State University, Ames, IA (1991).
1990
Book review of “Transformation and Weighting in Regression” by R. J. Carroll and D. Ruppert. Mathematical Reviews, 90, 695-696 (1990).
Reply to G. Wahba’s Letter to the Editor, American Statistician, 44, 256-258 (1990).
Report to Special Advisory Panel, U. S. Bureau of the Census, on Final Guidelines for Adjustment of the 1990 Decennial Census (14 pp.) (1990).
1989
Comment (joint with F. Pesarin) on “Space-time modelling with long-memory dependence: Assessing Ireland’s wind resource” by J. Haslett and A. E. Raftery. Applied Statistics, 38, 31-32 (1989).
Book review of “Asymptotics for Generalized Chi-Square Goodness-of-Fit Tests” by F. C. Drost. Journal of the Royal Statistical Society A, 152, 258-259 (1989).
Letter to the Editor. Geostatistics: An Interdisciplinary Geostatistics Newsletter, 3, Spring 1989, 15.
1988
To adjust or not to adjust: U. S. census counts. Stat Lab News, No. 2, October 1988, 7-8.
Editorial: Statistics in chemistry. Chemometrics and Intelligent Laboratory Systems, 3, 249-250 (1988).
1987
Book review of “Spatial Data Analysis by Example” by G. Upton and B. Fingleton. Technometrics, 29, 114-116 (1987).
Comment on “Census undercount adjustment and the quality of geographic population distributions” by A. L. Schirm and S. H. Preston. Journal of the American Statistical Association, 82, 980-983 (1987).
Written testimony given to Congressional Hearing called by U. S. House of Representatives Committee on Post Office and Civil Service, Subcommittee on Census and Population, on “The Impact of Population Undercount,” San Francisco, CA, 8/17/87.
Statistics for spatial data. Stat Lab News, No. 1, June 1987, pp. 2, 6, 7.
Exact interpolation. Geostatistics: An Interdisciplinary Geostatistics Newsletter, 1, Summer 1987, 11-13.
Comment on “Recursive methods in image processing” by P. J. Green and D. M. Titterington. Bulletin of the International Statistical Institute, 52, Book 4, 100-101 (1987).
Comment on “Application of some empirical Bayes methods to small area estimation” by E. Spjotvoll and I. Thomsen. Bulletin of the International Statistical Institute, 52, Book 4, 473 (1987).
Mixing ergodicity and geostatistics. Geostatistics: An Interdisciplinary Geostatistics Newsletter, 2, Autumn 1987, 9-12.
1986
Comment on “Size and shape spaces for landmark data in two dimensions” by F. L. Bookstein. Statistical Science, 1, 226 (1986).
Comment on “Statistical synthetic estimates of undercount for small areas” by C. T. Isaki, G. J. Diffendal, and L. K. Schultz. Proceedings of Bureau of the Census Second Annual Research Conference. U. S. Bureau of the Census, Washington, DC, 580-583 (1986).
ASA/NSF/Census Fellowship Program: Some perceptions and suggestions. An evaluation of the ASA/NSF/Census Fellowship Program, 1980-1986 (a report to the American Statistical Association under the chairmanship of W. Allen Spivey), A51-A58 (1986).
1985
Comment on “Some aspects of the spline smoothing approach to nonparametric regression curve fitting” by B.W. Silverman. Journal of the Royal Statistical Society B, 47, 34-35 (1985).
Response to a Letter to the Editors (joint with L. J. Sheffield and H. J. Whitford). Journal of Chronic Diseases, 38, 1030 (1985).
Intensity estimation in a spatial model of overlapping particles, with G. M. Laslett and S. Liow. Unpublished manuscript (12 pp.) (1985).
1984
Book review of “Statistics on Spheres” by G. S. Watson. Journal of the American Statistical Association, 79, 733 (1984).
1982
Revised the book, “Image Analysis and Mathematical Morphology” by J. Serra. Academic Press, London, UK (1982).
Statistics in Resource Development theme of the 6th Australian Statistical Conference (Melbourne, 23-27 August 1982). Bulletin of Australian News in Geomathematics, February, 1982.
Letter to the Editor. The Statistician, 31, 117 (1982).
Book review of “Applied Regression Analysis, Second Edition” by N. R. Draper and H. Smith. Australian Journal of Statistics, 24, 387-390 (1982).
Short course on geostatistics. Statistical Society of Australia Newsletter, No. 21, November 1982.
1981
Comment on “Random fields in models in surface science” by R. J. Adler. Bulletin of the International Statistical Institute, 49, Book 2, 680-681 (1981).
Comment on “The relation of sums and extremes of random variables” by T. Mori. Bulletin of the International Statistical Institute, 49, Book 2, 899-900 (1981).
1979
Random set limit theorems (Abstract in Proceedings of the 8th Conference on Stochastic Processes). Advances in Applied Probability, 11, 281-282 (1979).
1977
Book review of “Lecture Notes on Queuing Systems” by G. Conolly. Journal of the Royal Statistical Society A, 140, 97-98 (1977)..
Comment on “Estimation of spatial distributions from point sources with applications to air pollution measurement” by P. Switzer. Bulletin of the International Statistical Institute, 47, Book 2, 144 (1977).
1975
Testing for uniformity against a clustering alternative. Unpublished Ph.D. Thesis, Princeton University (153 pp.) (1975).
1974
A two-dimensional random walk (Abstract in Proceedings of the 3rd Conference on Stochastic Processes). Advances in Applied Probability, 6, 248-249 (1974).
- Books
- Refereed Articles
- Unrefereed Articles
- Other Publications (including Book Reviews, Comments, Interviews, etc.)