Filters: Author is Cressie, N. [Clear All Filters]
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2007. A Bayesian hierarchical model of arsenic exposure based on NHEXAS data: A comparison of US EPA Region 5 and Arizona. 2007 Proceedings of the Joint Statistical Meetings. :1055-1062.
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2007. Combining regional climate model output via a multivariate Markov random field model. Proceedings of the 56th Session of the International Statistical Institute.
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2007. Data mining of MISR aerosol product using spatial statistics. Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining. :712-719.
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2003. Dynamic multi-resolution spatial models. AIC2003: Science of Modeling. :167-174.
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2005. Geostatistical prediction of spatial extremes and their extent. Geostatistics for Environmental Applications, Proceedings of the Fifth Conference on Geostatistics for Environmental Applications. :27-37.
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2005. Hierarchical Bayesian modeling of the movement of ice streams. Statistical Solutions to Modern Problems: Proceedings of the 20th International Workshop on Statistical Modelling, Sydney, Australia, July 10-15, 2005. :3-15.
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2005. Lognormal kriging: Bias adjustment and kriging variances. Geostatistics Banff 2004: Proceedings of the Seventh International Geostatistics Congress. :1027-1036.
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2005. Multivariate dependence among extremes, abrupt change, and anomalies in space and time for climate applications. International Workshop on Data Mining Methods for Anomaly Detection. :25-26.
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2002. Multivariate lattice models for spatial environmental data. 2002 Proceedings of the Joint Statistical Meetings, Section on Statistics and the Environment of the American Statistical Association. :2820-2825.
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2007. Some topics in convolution-based spatial modeling. Proceedings of the 56th Session of the International Statistical Institute.
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2001. Space-time modeling of total column ozone (TCO) satellite data: Exploratory analysis in a multiresolution context. Proceedings of the First Spanish Workshop on Spatio-Temporal Modelling of Environmental Processes (METMA). :41-49.
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2006. Spatial prediction for massive datasets. Mastering the Data Explosion in the Earth and Environmental Sciences: Proceedings of the Australian Academy of Science Elizabeth and Frederick White Conference. :11pp..
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2000. Spatial statistics and environmental sciences. 2000 Proceedings of the Joint Statistical Meetings, Section on Statistics and the Environment of the American Statistical Association. :1-10.
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2000. Spatial statistics and environmental sciences. 2000 Proceedings of the Joint Statistical Meetings, Section on Statistics and the Environment of the American Statistical Association. :1-10.
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2003. Spatial Statistics and FMRI. Proceedings of the 12th Workshop on Stochastic Geometry, Stereology and Image Analysis. 29
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2001. A spatial-temporal statistical approach to command and control problems in battle-space digitization. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). 439:232-243.
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2003. A spatial-temporal statistical approach to problems in command and control. Sixth Annual U.S. Army Conference on Applied Statistics 2000. :170-190.
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2000. Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data. Proceedings in Computational Statistics. :41-52.
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2002. Using enhanced FDR for simultaneous thresholding of FMRI data. 2002 Proceedings of the Joint Statistical Meetings, Biometrics Section. :2653-2658.
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2009. Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling - with discussion. Ecological Applications. 19(3):553-570.
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2001. Analysis of spatial point patterns using bundles of product density LISA functions. Journal of Agricultural, Biological, and Environmental Statistics. 6:118-135.
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2002. Asymptotic inference for spatial CDFs over time. Statistica Sinica. 12:843-861.
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2000. Asymptotic properties of maximum (composite) likelihood estimators for partially ordered Markov models. Statistica Sinica. 10:1325-1344.
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Submitted. Bayesian source detection and parameter estimation of a plume model based on sensor network measurements. Applied Stochastic Models in business and Industry .
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2007. Beyond Moran's I: Testing for spatial dependence based on the SAR model. Geographical Analysis. 39:357-375.
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2001. Binary Markov mesh models and symmetric Markov random fields: Some results on their equivalence. Methodology and Computing in Applied Probability. 3:5-34.
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2006. Block kriging for lognormal spatial processes. Mathematical Geology. 38:413-443.
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2002. Calibrated spatial moving average simulations. Statistical Modeling. 2:267-279.
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Submitted. Combining ensembles of regional climate model output via a multivariate Markov random field model. Annals of Applied Statistics.
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2007. Comment on "Modern statistics for spatial point processes" by J. Moller and R. Waagepetersen. Scandinavian Journal of Statistics. 34:690-691.
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2008. Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields. Computational Statistics and Data Analysis. 52:2794-2807.
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2000. The construction of multivariate distributions from Markov random fields. Journal of Multivariate Analysis. 73:199-220.
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2008. Detecting signals in FMRI data using powerful FDR procedures. Statistics and its Interface. 1:23-32.
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2000. Deterministic/stochastic wavelet decomposition for recovery of signal from noisy data. Technometrics. 42:262-276.
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2000. Directed Markov point processes as limits of partially ordered Markov models. Methodology and Computing in Applied Probability. 2:5-21.
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2007. Dynamic multi-resolution spatial models. Environmental and Ecological Statistics. 14:5-25.
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2004. Ecological bias: Use of maximum-entropy approximations. Australian and New Zealand Journal of Statistics. 46:233-255.
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2002. The effect on attribute prediction of location uncertainty in spatial data. Geographical Analysis. 34:262-285.
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2008. Equilibrium dynamics of ice streams: A Bayesian statistical analysis. Statistical Methods and Applications. 17:145-165.
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2005. A fast, optimal spatial-prediction method for massive datasets. Journal of the American Statistical Association. 100:1343-1357.
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2002. Fast, resolution-consistent spatial prediction of global processes from satellite data. Journal of Graphical and Computational Statistics. 11:63-88.
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2004. Finding large-scale spatial trends in massive, global, environmental datasets. Environmetrics. 15:1-44.
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2010. Fixed rank filtering for spatio-temporal data. Journal of Computational and Graphical Statistics. 19 (3):724-745.
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2008. Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B. 70:209-226.
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2004. Flexible spatial models based on the Fast Fourier Transform (FFT) for cokriging. Journal of Computational and Graphical Statistics. 13:265-282.
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2007. From sources to biomarkers: A hierarchical Bayesian approach for human exposure modeling. Journal of Statistical Planning and Inference. 137:3361-3379.
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2007. Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite. Environmetrics. 18:665-680.
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2001. A hierarchical approach to covariance-function estimation for time series. Journal of Time Series Analysis. 22:253-266.
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2009. Hierarchical model building, fitting, and checking: A behind-the-scenes look at a Bayesian analysis of arsenic exposure pathways. Bayesian Analysis. 4:1-62.
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2003. Hierarchical modeling of count data with application to nuclear fall-out. Environmental and Ecological Statistics. 10:179-200.
