alan e gelfand
alan e gelfand
Professor of Statistical Science Duke University
Verified email at stat.duke.edu - Homepage
Title
Cited by
Cited by
Year
Sampling-based approaches to calculating marginal densities
AE Gelfand, AFM Smith
Journal of the American statistical association 85 (410), 398-409, 1990
92371990
Hierarchical modeling and analysis for spatial data
S Banerjee, BP Carlin, AE Gelfand
Chapman and Hall/CRC, 2003
38672003
Bayesian model choice: asymptotics and exact calculations
AE Gelfand, DK Dey
Journal of the Royal Statistical Society: Series B (Methodological) 56 (3 …, 1994
15441994
Illustration of Bayesian inference in normal data models using Gibbs sampling
AE Gelfand, SE Hills, A Racine-Poon, AFM Smith
Journal of the American Statistical Association 85 (412), 972-985, 1990
14381990
Bayesian statistics without tears: a sampling–resampling perspective
AFM Smith, AE Gelfand
The American Statistician 46 (2), 84-88, 1992
13791992
Gaussian predictive process models for large spatial data sets
S Banerjee, AE Gelfand, AO Finley, H Sang
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008
10102008
Handbook of spatial statistics
AE Gelfand, P Diggle, P Guttorp, M Fuentes
CRC press, 2010
9982010
Model determination using predictive distributions with implementation via sampling-based methods
AE Gelfand, DK Dey, H Chang
Stanford Univ CA Dept of Statistics, 1992
9081992
Model choice: a minimum posterior predictive loss approach
AE Gelfand, SK Ghosh
Biometrika 85 (1), 1-11, 1998
9021998
Hierarchical Bayesian analysis of changepoint problems
BP Carlin, AE Gelfand, AFM Smith
Journal of the royal statistical society: series C (applied statistics) 41 …, 1992
7801992
Hierarchical spatio-temporal mapping of disease rates
LA Waller, BP Carlin, H Xia, AE Gelfand
Journal of the American Statistical association 92 (438), 607-617, 1997
6891997
Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
AE Gelfand, AFM Smith, TM Lee
Journal of the American Statistical Association 87 (418), 523-532, 1992
6221992
Model determination using sampling-based methods
AE Gelfand
Markov chain Monte Carlo in practice, 145-161, 1996
6051996
Spatial modeling with spatially varying coefficient processes
AE Gelfand, HJ Kim, CF Sirmans, S Banerjee
Journal of the American Statistical Association 98 (462), 387-396, 2003
5672003
Proper multivariate conditional autoregressive models for spatial data analysis
AE Gelfand, P Vounatsou
Biostatistics 4 (1), 11-15, 2003
4872003
Efficient parametrisations for normal linear mixed models
AE Gelfand, SK Sahu, BP Carlin
Biometrika 82 (3), 479-488, 1995
4871995
Bayesian analysis of linear and non‐linear population models by using the Gibbs sampler
JC Wakefield, AFM Smith, A Racine‐Poon, AE Gelfand
Journal of the Royal Statistical Society: Series C (Applied Statistics) 43 …, 1994
4251994
Bayesian nonparametric spatial modeling with Dirichlet process mixing
AE Gelfand, A Kottas, SN MacEachern
Journal of the American Statistical Association 100 (471), 1021-1035, 2005
4182005
Hierarchical nearest-neighbor Gaussian process models for large geostatistical datasets
A Datta, S Banerjee, AO Finley, AE Gelfand
Journal of the American Statistical Association 111 (514), 800-812, 2016
3862016
Building statistical models to analyze species distributions
AM Latimer, S Wu, AE Gelfand, JA Silander Jr
Ecological applications 16 (1), 33-50, 2006
3752006
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