| Sampling-based approaches to calculating marginal densities AE Gelfand, AFM Smith Journal of the American statistical association 85 (410), 398-409, 1990 | 10081 | 1990 |
| Hierarchical modeling and analysis for spatial data S Banerjee, BP Carlin, AE Gelfand Chapman and Hall/CRC, 2003 | 4731 | 2003 |
| Bayesian model choice: asymptotics and exact calculations AE Gelfand, DK Dey Journal of the Royal Statistical Society: Series B (Methodological) 56 (3 …, 1994 | 1737 | 1994 |
| 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 | 1553 | 1990 |
| Bayesian statistics without tears: a sampling–resampling perspective AFM Smith, AE Gelfand The American Statistician 46 (2), 84-88, 1992 | 1535 | 1992 |
| 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 | 1269 | 2008 |
| Handbook of spatial statistics AE Gelfand, P Diggle, P Guttorp, M Fuentes CRC press, 2010 | 1250 | 2010 |
| Model determination using predictive distributions with implementation via sampling-based methods AE Gelfand, DK Dey, H Chang Bayesian statistics 4, 147-168, 1992 | 1031 | 1992 |
| Model choice: a minimum posterior predictive loss approach AE Gelfand, SK Ghosh Biometrika 85 (1), 1-11, 1998 | 999 | 1998 |
| Hierarchical Bayesian analysis of changepoint problems BP Carlin, AE Gelfand, AFM Smith Journal of the royal statistical society: series C (applied statistics) 41 …, 1992 | 840 | 1992 |
| 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 | 761 | 1997 |
| 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 | 722 | 2003 |
| 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 | 700 | 2016 |
| 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 | 668 | 1992 |
| Model determination using AE Gelfand Markov chain Monte Carlo in practice, 145, 1995 | 660 | 1995 |
| Proper multivariate conditional autoregressive models for spatial data analysis AE Gelfand, P Vounatsou Biostatistics 4 (1), 11-15, 2003 | 565 | 2003 |
| Efficient parametrisations for normal linear mixed models AE Gelfand, SK Sahu, BP Carlin Biometrika 82 (3), 479-488, 1995 | 549 | 1995 |
| 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 | 478 | 2005 |
| Building statistical models to analyze species distributions AM Latimer, S Wu, AE Gelfand, JA Silander Jr Ecological applications 16 (1), 33-50, 2006 | 441 | 2006 |
| 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 | 441 | 1994 |
Bradley P. CarlinPharmaLex - USVerified email at counterpointstat.com
