A stochastic neighborhood conditional autoregressive model for spatial data

Computational Statistics and Data Analysis

Volumn 53, Issue 8, 2009, Pages 3033-3046

  White, Gentry ^a   Ghosh, Sujit K ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MODEL AUTOMOBILES; MODEL STRUCTURES; NUCLEAR REACTOR ACCIDENTS; RADIOACTIVITY; RANDOM PROCESSES; SOIL POLLUTION;

AUTO-REGRESSIVE; CAR MODELS; CHERNOBYL ACCIDENTS; CONDITIONAL AUTOREGRESSIVE; COVARIANCE STRUCTURES; RADIOACTIVE CONTAMINATIONS; SPATIAL COVARIANCES; SPATIAL DATUM; SPATIAL PROCESS; SWITZERLAND; UNKNOWN PARAMETERS;

STOCHASTIC MODELS;

EID: 62849092527     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.08.010     Document Type: Article

References (16)

1. Banerjee S., Carlin B.P., and Gelfand A.E. Hierarchical Modeling and Analysis for Spatial Data (2006), Chapman and Hall, CRC
2. Besag J. Spatial interaction and the statistical analysis of lattice systems (with discussions). Journal of the Royal Statistical Society, Series B 36 (1974) 192-236
3. Besag J., and Kooperberg C. On conditional and intrinsic autoregressions. Biometrika 82 (1995) 733-746
4. Celux G., Forbes F., and Titterington D.M. Deviance information criteria for missing data models. Bayesian Analysis 1 (2006) 651-674
5. Cressie N.A.C. Statistics for Spatial Data (1993), Wiley
6. Diggle P.J., and Ribeiro P.J. Model Based Geostatistics (2007), Springer
7. Hrafnkelsson B., and Cressie N. Hierarchical modeling of count data with application to nuclear fall-out. Environmental and Ecological Statistics 10 (2003) 179-200
8. Kanevski M., and Maignan M. Analysis And Modelling Of Spatial Environmental Data (2004), EPFL Press, Lausanne, Switzerland
9. Lunn D.J., Thomas A., Best N., and Spiegelhalter D. WinBUGS - a Bayesian modelling framework: Concepts, structure and extensibility. Statistics and Computing 10 (2000) 325-337
10. Mendenhall W., and Sincich T. A Second Course in Statistics: Regression Analysis. Pearson Education (2003), Upper Saddle River, New Jersey
11. Plummer M. Comments on article by Celeux et al. Bayesian Analysis 1 (2006) 681-686
12. Ribeiro Jr. P.J., and Diggle P.J. geoR: A package for geostatistical analysis. R-News 1 (2001). http://cran.r-project.org/doc/Rnews 2 ISSN: 1609-3631. http://cran.r-project.org/doc/Rnews
13. Rue H., and Tjelmeland H. Fitting gaussian markov random fields to gaussian fields. Scandinavian Journal of Statistics 29 (2002) 31-49
14. Song H.R., Fuentes M., and Ghosh S.K. A Comparative Study of Gaussian Geostatistical and Gaussian Markov Random Field Models. Journal of Multivariate Analysis 99 (2008) 1681-1697
15. Spiegelhalter D.J., Best N.G., Carlin B.P., and van der Linde A. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B 64 4 (2002) 583-615
16. Werner, L., 2004. Spatial inference for non-lattice data using Markov random fields, Ph.D. Thesis, Lund University