| Year |
Citation |
Score |
| 2023 |
Tang B, Roberts SM, Clark JS, Gelfand AE. Mechanistic modeling of climate effects on redistribution and population growth in a community of fish species. Global Change Biology. 29: 6399-6414. PMID 37789712 DOI: 10.1111/gcb.16963 |
0.489 |
|
| 2020 |
Shirota S, Gelfand AE, Mateu J. Analyzing car thefts and recoveries with connections to modeling origin–destination point patterns Spatial Statistics. 38: 100440. DOI: 10.1016/J.Spasta.2020.100440 |
0.42 |
|
| 2020 |
Gelfand AE. Statistical challenges in spatial analysis of plant ecology data Spatial Statistics. 37: 100418. DOI: 10.1016/J.Spasta.2020.100418 |
0.479 |
|
| 2020 |
White PA, Gelfand AE. Multivariate functional data modeling with time-varying clustering Test. 1-17. DOI: 10.1007/S11749-020-00733-Z |
0.32 |
|
| 2020 |
White PA, Gelfand AE. Generalized Evolutionary Point Processes: Model Specifications and Model Comparison Methodology and Computing in Applied Probability. 1-21. DOI: 10.1007/S11009-020-09797-8 |
0.492 |
|
| 2019 |
Shirota S, Gelfand AE, Banerjee S. Spatial Joint Species Distribution Modeling using Dirichlet Processes. Statistica Sinica. 29: 1127-1154. PMID 31555038 DOI: 10.5705/Ss.202017.0482 |
0.575 |
|
| 2019 |
Paci L, Gelfand AE, Beamonte aMA, Gargallo P, Salvador M. Spatial hedonic modelling adjusted for preferential sampling Journal of the Royal Statistical Society: Series a (Statistics in Society). 183: 169-192. DOI: 10.1111/Rssa.12489 |
0.44 |
|
| 2019 |
White PA, Gelfand AE, Rodrigues ER, Tzintzun G. Pollution state modelling for Mexico City Journal of the Royal Statistical Society: Series a (Statistics in Society). 182: 1039-1060. DOI: 10.1111/Rssa.12444 |
0.309 |
|
| 2019 |
Shen Y, Gelfand A. Exploring geometric anisotropy for point-referenced spatial data Spatial Statistics. 32: 100370. DOI: 10.1016/J.Spasta.2019.100370 |
0.492 |
|
| 2019 |
Schliep EM, Gelfand AE. Velocities for spatio-temporal point patterns Spatial Statistics. 29: 204-225. DOI: 10.1016/J.Spasta.2018.12.007 |
0.377 |
|
| 2019 |
Gelfand AE, Shirota S. Preferential sampling for presence/absence data and for fusion of presence/absence data with presence‐only data Ecological Monographs. 89. DOI: 10.1002/Ecm.1372 |
0.461 |
|
| 2018 |
Schliep EM, Gelfand AE, Holland DM. Alternating Gaussian Process Modulated Renewal Processes for Modeling Threshold Exceedances and Durations. Stochastic Environmental Research and Risk Assessment : Research Journal. 32: 401-417. PMID 30245582 DOI: 10.1007/S00477-017-1417-9 |
0.437 |
|
| 2018 |
Wang F, Wang J, Gelfand AE, Li F. Disease Mapping With Generative Models The American Statistician. 73: 213-223. DOI: 10.1080/00031305.2017.1392358 |
0.424 |
|
| 2018 |
Schliep EM, Gelfand AE, Clark JS, Kays R. Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data Journal of Agricultural, Biological and Environmental Statistics. 23: 334-357. DOI: 10.1007/S13253-018-0327-8 |
0.565 |
|
| 2018 |
Wang F, Bhattacharya A, Gelfand AE. Rejoinder on: Process modeling for slope and aspect with application to elevation data maps Test. 27: 783-786. DOI: 10.1007/S11749-018-0623-1 |
0.381 |
|
| 2018 |
Wang F, Bhattacharya A, Gelfand AE. Process modeling for slope and aspect with application to elevation data maps Test. 27: 749-772. DOI: 10.1007/S11749-018-0619-X |
0.512 |
|
| 2018 |
Lu X, Gelfand AE, Holland DM. Local real-time forecasting of ozone exposure using temperature data Environmetrics. 29: e2509. DOI: 10.1002/Env.2509 |
0.394 |
|
| 2017 |
Gelfand AE, Banerjee S. Bayesian Modeling and Analysis of Geostatistical Data. Annual Review of Statistics and Its Application. 4: 245-266. PMID 29392155 DOI: 10.1146/annurev-statistics-060116-054155 |
0.583 |
|
| 2017 |
Wang F, Wang J, Gelfand A, Li F. Accommodating the ecological fallacy in disease mapping in the absence of individual exposures. Statistics in Medicine. PMID 28929501 DOI: 10.1002/Sim.7494 |
0.401 |
|
| 2017 |
Taylor-Rodríguez D, Kaufeld K, Schliep EM, Clark JS, Gelfand AE. Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes Bayesian Analysis. 12: 939-967. DOI: 10.1214/16-Ba1031 |
0.553 |
|
| 2017 |
Shirota S, Gelfand AE. Space and circular time log Gaussian Cox processes with application to crime event data The Annals of Applied Statistics. 11: 481-503. DOI: 10.1214/16-Aoas960 |
0.321 |
|
| 2017 |
Schliep EM, Gelfand AE, Clark JS, Tomasek BJ. Biomass prediction using a density-dependent diameter distribution model The Annals of Applied Statistics. 11: 340-361. DOI: 10.1214/16-Aoas1007 |
0.55 |
|
| 2017 |
Leininger TJ, Gelfand AE. Bayesian Inference and Model Assessment for Spatial Point Patterns Using Posterior Predictive Samples Bayesian Analysis. 12: 1-30. DOI: 10.1214/15-Ba985 |
0.431 |
|
| 2017 |
Schliep EM, Gelfand AE, Mitchell RM, Aiello‐Lammens ME, Silander JA. Assessing the joint behaviour of species traits as filtered by environment Methods in Ecology and Evolution. 9: 716-727. DOI: 10.1111/2041-210X.12901 |
0.393 |
|
| 2017 |
Shirota S, Gelfand AE. Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes Journal of Computational and Graphical Statistics. 26: 646-657. DOI: 10.1080/10618600.2017.1299627 |
0.527 |
|
| 2017 |
White P, Gelfand A, Utlaut T. Prediction and model comparison for areal unit data Spatial Statistics. 22: 89-106. DOI: 10.1016/J.Spasta.2017.09.002 |
0.494 |
|
| 2017 |
Paci L, Beamonte MA, Gelfand AE, Gargallo P, Salvador M. Analysis of residential property sales using space–time point patterns Spatial Statistics. 21: 149-165. DOI: 10.1016/J.Spasta.2017.06.007 |
0.442 |
|
| 2016 |
Datta A, Banerjee S, Finley AO, Gelfand AE. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111: 800-812. PMID 29720777 DOI: 10.1080/01621459.2015.1044091 |
0.644 |
|
| 2016 |
Datta A, Banerjee S, Finley AO, Gelfand AE. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews. Computational Statistics. 8: 162-171. PMID 29657666 DOI: 10.1002/Wics.1383 |
0.668 |
|
| 2015 |
Wang F, Gelfand AE, Jona-Lasinio G. Joint spatio-temporal analysis of a linear and a directional variable: Space-time modeling of wave heights and wave directions in the adriatic sea Statistica Sinica. 25: 25-39. DOI: 10.5705/Ss.2013.204W |
0.362 |
|
| 2015 |
Schliep EM, Gelfand AE, Holland DM. Autoregressive spatially varying coefficients model for predicting daily PM2.5 using VIIRS satellite AOT Advances in Statistical Climatology, Meteorology and Oceanography. 1: 59-74. DOI: 10.5194/ascmo-1-59-2015 |
0.375 |
|
| 2015 |
Finley AO, Banerjee S, Gelfand AE. spBayes for large univariate and multivariate point-referenced spatio-temporal data models Journal of Statistical Software. 63: 1-28. DOI: 10.18637/Jss.V063.I13 |
0.614 |
|
| 2015 |
Gelfand AE, Schliep EM. Spatial statistics and Gaussian processes: A beautiful marriage Spatial Statistics. DOI: 10.1016/J.Spasta.2016.03.006 |
0.543 |
|
| 2015 |
Paci L, Gelfand AE, Cocchi D. Quantifying uncertainty for temperature maps derived from computer models Spatial Statistics. 12: 96-108. DOI: 10.1016/J.Spasta.2015.03.005 |
0.487 |
|
| 2015 |
Ghosh S, Zhu K, Gelfand AE, Clark JS. Joint Modeling of Climate Niches for Adult and Juvenile Trees Journal of Agricultural, Biological, and Environmental Statistics. 1-20. DOI: 10.1007/S13253-015-0238-X |
0.565 |
|
| 2015 |
Schliep EM, Gelfand AE, Clark JS. Stochastic Modeling for Velocity of Climate Change Journal of Agricultural, Biological, and Environmental Statistics. DOI: 10.1007/S13253-015-0210-9 |
0.528 |
|
| 2015 |
Mastrantonio G, Jona Lasinio G, Gelfand AE. Spatio-temporal circular models with non-separable covariance structure Test. DOI: 10.1007/S11749-015-0458-Y |
0.515 |
|
| 2015 |
Gelfand AE. Comments on: Comparing and selecting spatial predictors using local criteria Test. 24: 29-30. DOI: 10.1007/S11749-014-0412-4 |
0.318 |
|
| 2015 |
Schliep EM, Gelfand AE, Clark JS, Zhu K. Modeling change in forest biomass across the eastern US Environmental and Ecological Statistics. DOI: 10.1007/S10651-015-0321-Z |
0.552 |
|
| 2015 |
Terres MA, Gelfand AE. Using spatial gradient analysis to clarify species distributions with application to South African protea Journal of Geographical Systems. 17: 227-247. DOI: 10.1007/S10109-015-0215-5 |
0.438 |
|
| 2015 |
Paci L, Gelfand AE, Beamonte MA, Rodrigues M, Pérez-Cabello F. Space-time modeling for post-fire vegetation recovery Stochastic Environmental Research and Risk Assessment. 1-13. DOI: 10.1007/S00477-015-1182-6 |
0.444 |
|
| 2015 |
Mastrantonio G, Gelfand AE, Jona Lasinio G. The wrapped skew Gaussian process for analyzing spatio-temporal data Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/S00477-015-1163-9 |
0.513 |
|
| 2015 |
Gelfand AE, Banerjee S. Bayesian wombling: Finding rapid change in spatial maps Wiley Interdisciplinary Reviews: Computational Statistics. DOI: 10.1002/Wics.1360 |
0.592 |
|
| 2015 |
Rundel CW, Schliep EM, Gelfand AE, Holland DM. A data fusion approach for spatial analysis of speciated PM2.5 across time Environmetrics. 26: 515-525. DOI: 10.1002/Env.2369 |
0.394 |
|
| 2014 |
Neelon B, Gelfand AE, Miranda ML. A multivariate spatial mixture model for areal data: examining regional differences in standardized test scores. Journal of the Royal Statistical Society. Series C, Applied Statistics. 63: 737-761. PMID 26401059 DOI: 10.1111/Rssc.12061 |
0.473 |
|
| 2014 |
Clark JS, Gelfand AE, Woodall CW, Zhu K. More than the sum of the parts: forest climate response from joint species distribution models. Ecological Applications : a Publication of the Ecological Society of America. 24: 990-9. PMID 25154092 DOI: 10.1890/13-1015.1 |
0.539 |
|
| 2014 |
Paiva T, Chakraborty A, Reiter J, Gelfand A. Imputation of confidential data sets with spatial locations using disease mapping models. Statistics in Medicine. 33: 1928-45. PMID 24395116 DOI: 10.1002/Sim.6078 |
0.43 |
|
| 2014 |
Zhu K, Woodall CW, Ghosh S, Gelfand AE, Clark JS. Dual impacts of climate change: forest migration and turnover through life history. Global Change Biology. 20: 251-64. PMID 24014498 DOI: 10.1111/Gcb.12382 |
0.485 |
|
| 2014 |
Allen JM, Terres MA, Katsuki T, Iwamoto K, Kobori H, Higuchi H, Primack RB, Wilson AM, Gelfand A, Silander JA. Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology. Global Change Biology. 20: 1251-63. PMID 23966290 DOI: 10.1111/Gcb.12364 |
0.385 |
|
| 2014 |
Gelfand AE, Monteiro JVD. Explaining return times for wildfires Journal of Statistical Theory and Practice. 8: 534-545. DOI: 10.1080/15598608.2013.821047 |
0.499 |
|
| 2014 |
Wang F, Gelfand AE. Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes Journal of the American Statistical Association. 109: 1565-1580. DOI: 10.1080/01621459.2014.934454 |
0.506 |
|
| 2014 |
Terres MA, Gelfand AE. Spatial process gradients and their use in sensitivity analysis for environmental processes Journal of Statistical Planning and Inference. DOI: 10.1016/J.Jspi.2015.07.003 |
0.508 |
|
| 2014 |
Brynjarsdóttir J, Gelfand AE. On Covariate Importance for Regression Models with Multivariate Response Journal of Agricultural, Biological, and Environmental Statistics. 19: 479-500. DOI: 10.1007/S13253-014-0187-9 |
0.492 |
|
| 2014 |
Nguyen X, Gelfand AE. Bayesian nonparametric modeling for functional analysis of variance Annals of the Institute of Statistical Mathematics. 66: 495-526. DOI: 10.1007/S10463-013-0436-7 |
0.466 |
|
| 2014 |
Schliep EM, Dong TQ, Gelfand AE, Li F. Modeling individual tree growth by fusing diameter tape and increment core data Environmetrics. 25: 610-620. DOI: 10.1002/Env.2324 |
0.349 |
|
| 2014 |
Berrocal VJ, Gelfand AE, Holland DM. Assessing exceedance of ozone standards: A space-time downscaler for fourth highest ozone concentrations Environmetrics. 25: 279-291. DOI: 10.1002/Env.2273 |
0.418 |
|
| 2013 |
Wang F, Gelfand AE. Directional data analysis under the general projected normal distribution. Statistical Methodology. 10: 113-127. PMID 24046539 DOI: 10.1016/J.Stamet.2012.07.005 |
0.459 |
|
| 2013 |
Paci L, Gelfand AE, Holland DM. Spatio-temporal modeling for real-time ozone forecasting. Spatial Statistics. 4: 79-93. PMID 24010052 DOI: 10.1016/J.Spasta.2013.04.003 |
0.419 |
|
| 2013 |
Gelfand AE, Ghosh S, Clark JS. Scaling integral projection models for analyzing size demography Statistical Science. 28: 641-658. DOI: 10.1214/13-Sts444 |
0.556 |
|
| 2013 |
Ghosh S, Bell DM, Clark JS, Gelfand AE, Flikkema PG. Process modeling for soil moisture using sensor network data Statistical Methodology. DOI: 10.1016/J.Stamet.2013.08.002 |
0.48 |
|
| 2013 |
Berrocal VJ, Miranda ML, Gelfand AE, Bhattacharya S. Synthesizing categorical datasets to enhance inference Statistical Methodology. 15: 25-45. DOI: 10.1016/J.Stamet.2013.04.001 |
0.424 |
|
| 2013 |
Chakraborty A, Beamonte MA, Gelfand AE, Alonso MP, Gargallo P, Salvador M. Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets Computational Statistics and Data Analysis. 58: 292-307. DOI: 10.1016/J.Csda.2012.08.016 |
0.442 |
|
| 2013 |
Leininger TJ, Gelfand AE, Allen JM, Silander JA. Spatial Regression Modeling for Compositional Data With Many Zeros Journal of Agricultural, Biological, and Environmental Statistics. 18: 314-334. DOI: 10.1007/S13253-013-0145-Y |
0.38 |
|
| 2013 |
Allen JM, Leininger TJ, Hurd JD, Civco DL, Gelfand AE, Silander JA. Socioeconomics drive woody invasive plant richness in New England, USA through forest fragmentation Landscape Ecology. 28: 1671-1686. DOI: 10.1007/S10980-013-9916-7 |
0.32 |
|
| 2013 |
Terres MA, Gelfand AE, Allen JM, Silander JA. Analyzing first flowering event data using survival models with space and time-varying covariates Environmetrics. 24: 317-331. DOI: 10.1002/Env.2211 |
0.441 |
|
| 2012 |
Ghosh S, Gelfand AE, Clark JS. Inference for Size Demography from Point Pattern Data using Integral Projection Models. Journal of Agricultural, Biological, and Environmental Statistics. 17. PMID 24223480 DOI: 10.1007/S13253-012-0123-9 |
0.626 |
|
| 2012 |
Gelfand AE, Sahu SK, Holland DM. On the Effect of Preferential Sampling in Spatial Prediction. Environmetrics. 23: 565-578. PMID 24077640 DOI: 10.1002/Env.2169 |
0.448 |
|
| 2012 |
Heaton MJ, Gelfand AE. Kernel Averaged Predictors for Spatio-Temporal Regression Models. Spatial Statistics. 2: 15-32. PMID 24010051 DOI: 10.1016/J.Spasta.2012.05.001 |
0.447 |
|
| 2012 |
Gelfand AE. Hierarchical Modeling for Spatial Data Problems. Spatial Statistics. 1: 30-39. PMID 24010050 DOI: 10.1016/J.Spasta.2012.02.005 |
0.497 |
|
| 2012 |
Ghosh S, Gelfand AE, Zhu K, Clark JS. The k-ZIG: flexible modeling for zero-inflated counts. Biometrics. 68: 878-85. PMID 22348816 DOI: 10.1111/J.1541-0420.2011.01729.X |
0.62 |
|
| 2012 |
Berrocal VJ, Gelfand AE, Holland DM. Space-time data fusion under error in computer model output: an application to modeling air quality. Biometrics. 68: 837-48. PMID 22211949 DOI: 10.1111/J.1541-0420.2011.01725.X |
0.519 |
|
| 2012 |
Lum K, Gelfand AE. Spatial Quantile Multiple Regression Using the Asymmetric Laplace Process Bayesian Analysis. 7: 235-258. DOI: 10.1214/12-Ba708 |
0.391 |
|
| 2012 |
Jona-Lasinio G, Gelfand A, Jona-Lasinio M. Spatial analysis of wave direction data using wrapped Gaussian processes Annals of Applied Statistics. 6: 1478-1498. DOI: 10.1214/12-Aoas576 |
0.483 |
|
| 2012 |
Heaton MJ, Gray SC, Gelfand AE. Process modelling for contingency tables with ordered categories Statistical Modelling. 12: 211-228. DOI: 10.1177/1471082X1001200301 |
0.451 |
|
| 2012 |
Ghosh S, Gelfand AE, Mølhave T. Attaching uncertainty to deterministic spatial interpolations Statistical Methodology. 9: 251-264. DOI: 10.1016/J.Stamet.2011.06.001 |
0.485 |
|
| 2012 |
Finley AO, Banerjee S, Gelfand AE. Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes Journal of Geographical Systems. 14: 29-47. DOI: 10.1007/S10109-011-0154-8 |
0.6 |
|
| 2012 |
Gelfand AE, Banerjee S, Finley AO. Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models Spatio-Temporal Design: Advances in Efficient Data Acquisition. 142-169. DOI: 10.1002/9781118441862.ch7 |
0.52 |
|
| 2011 |
Guhaniyogi R, Finley AO, Banerjee S, Gelfand AE. Adaptive Gaussian Predictive Process Models for Large Spatial Datasets. Environmetrics. 22: 997-1007. PMID 22298952 DOI: 10.1002/Env.1131 |
0.659 |
|
| 2011 |
Clark JS, Agarwal P, Bell DM, Flikkema PG, Gelfand A, Nguyen X, Ward E, Yang J. Inferential ecosystem models, from network data to prediction. Ecological Applications : a Publication of the Ecological Society of America. 21: 1523-36. PMID 21830699 DOI: 10.1890/09-1212.1 |
0.559 |
|
| 2011 |
Berrocal VJ, Gelfand AE, Holland DM, Burke J, Miranda ML. On the use of a PM(2.5) exposure simulator to explain birthweight. Environmetrics. 22: 553-571. PMID 21691413 DOI: 10.1002/Env.1086 |
0.375 |
|
| 2011 |
Gray SC, Gelfand AE, Miranda ML. Hierarchical spatial modeling of uncertainty in air pollution and birth weight study. Statistics in Medicine. 30: 2187-98. PMID 21590788 DOI: 10.1002/Sim.4234 |
0.403 |
|
| 2011 |
Kim D, Miranda ML, Tootoo J, Bradley P, Gelfand AE. Spatial modeling for groundwater arsenic levels in North Carolina. Environmental Science & Technology. 45: 4824-31. PMID 21528844 DOI: 10.1021/Es103336S |
0.434 |
|
| 2011 |
Nguyen X, Gelfand AE. The dirichlet labeling process for clustering functional data Statistica Sinica. 21: 1249-1289. DOI: 10.5705/Ss.2008.285 |
0.4 |
|
| 2011 |
Lum K, Gelfand AE. Local linear suppression for wireless sensor network data Brazilian Journal of Probability and Statistics. 25: 392-405. DOI: 10.1214/11-Bjps151 |
0.317 |
|
| 2011 |
Chakraborty A, Gelfand AE, Wilson AM, Latimer AM, Silander JA. Point pattern modelling for degraded presence-only data over large regions Journal of the Royal Statistical Society. Series C: Applied Statistics. 60: 757-776. DOI: 10.1111/J.1467-9876.2011.00769.X |
0.5 |
|
| 2011 |
Wilson AM, Silander JA, Gelfand A, Glenn JH. Scaling up: Linking field data and remote sensing with a hierarchical model International Journal of Geographical Information Science. 25: 509-521. DOI: 10.1080/13658816.2010.522779 |
0.434 |
|
| 2011 |
Wilson AM, Latimer AM, Silander JA, Gelfand AE, de Klerk H. Corrigendum to "A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation" [Ecol. Modell. 221 (January (1)) (2010) 106-112] Ecological Modelling. 222: 3456. DOI: 10.1016/J.Ecolmodel.2011.08.022 |
0.317 |
|
| 2011 |
Heaton MJ, Gelfand AE. Spatial Regression Using Kernel Averaged Predictors Journal of Agricultural, Biological, and Environmental Statistics. 16: 233-252. DOI: 10.1007/S13253-010-0050-6 |
0.467 |
|
| 2011 |
Gelfand AE, Banerjee S. Discussion on "Spatial prediction in the presence of positional error" Environmetrics. 22: 128. DOI: 10.1002/Env.1093 |
0.512 |
|
| 2010 |
Rodríguez A, Dunson DB, Gelfand AE. Latent Stick-Breaking Processes. Journal of the American Statistical Association. 105: 647-659. PMID 23559690 DOI: 10.1198/Jasa.2010.Tm08241 |
0.429 |
|
| 2010 |
Berrocal VJ, Gelfand AE, Holland DM. A bivariate space-time downscaler under space and time misalignment. The Annals of Applied Statistics. 4: 1942-1975. PMID 21853015 DOI: 10.1214/10-Aoas351 |
0.398 |
|
| 2010 |
Tassone EC, Miranda ML, Gelfand AE. Disaggregated spatial modelling for areal unit categorical data. Journal of the Royal Statistical Society. Series C, Applied Statistics. 59: 175-190. PMID 21151717 DOI: 10.1111/J.1467-9876.2009.00682.X |
0.476 |
|
| 2010 |
Berrocal VJ, Gelfand AE, Holland DM. A Spatio-Temporal Downscaler for Output From Numerical Models. Journal of Agricultural, Biological, and Environmental Statistics. 15: 176-197. PMID 21113385 DOI: 10.1007/S13253-009-0004-Z |
0.522 |
|
| 2010 |
Schwartz SL, Gelfand AE, Miranda ML. Joint Bayesian analysis of birthweight and censored gestational age using finite mixture models. Statistics in Medicine. 29: 1710-23. PMID 20575047 DOI: 10.1002/Sim.3900 |
0.371 |
|
| 2010 |
Chakraborty A, Gelfand AE. Analyzing spatial point patterns subject to measurement error Bayesian Analysis. 5: 97-122. DOI: 10.1214/10-Ba504 |
0.304 |
|
| 2010 |
Chakraborty A, Gelfand AE, Wilson AM, Latimer AM, Silander JA. Modeling large scale species abundance with latent spatial processes Annals of Applied Statistics. 4: 1403-1429. DOI: 10.1214/10-Aoas335 |
0.474 |
|
| 2010 |
Sahu SK, Gelfand AE, Holland DM. Fusing point and areal level space-time data with application to wet deposition Journal of the Royal Statistical Society. Series C: Applied Statistics. 59: 77-103. DOI: 10.1111/J.1467-9876.2009.00685.X |
0.466 |
|
| 2010 |
Wilson AM, Latimer AM, Silander JA, Gelfand AE, de Klerk H. A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation Ecological Modelling. 221: 106-112. DOI: 10.1016/J.Ecolmodel.2009.09.016 |
0.4 |
|
| 2010 |
Sang H, Gelfand AE. Continuous spatial process models for spatial extreme values Journal of Agricultural, Biological, and Environmental Statistics. 15: 49-65. DOI: 10.1007/S13253-009-0010-1 |
0.495 |
|
| 2010 |
Puggioni G, Gelfand AE. Analyzing space-time sensor network data under suppression and failure in transmission Statistics and Computing. 20: 409-419. DOI: 10.1007/S11222-009-9133-Z |
0.359 |
|
| 2009 |
Finley AO, Sang H, Banerjee S, Gelfand AE. Improving the performance of predictive process modeling for large datasets. Computational Statistics & Data Analysis. 53: 2873-2884. PMID 20016667 DOI: 10.1016/J.Csda.2008.09.008 |
0.648 |
|
| 2009 |
Rodríguez A, Dunson DB, Gelfand AE. Bayesian Nonparametric Functional Data Analysis Through Density Estimation. Biometrika. 96: 149-162. PMID 19262739 DOI: 10.1093/Biomet/Asn054 |
0.378 |
|
| 2009 |
Duan JA, Gelfand AE, Sirmansz CF. Modeling space-time data using stochastic differential equations Bayesian Analysis. 4: 733-758. DOI: 10.1214/09-Ba427 |
0.462 |
|
| 2009 |
Petrone S, Guindani M, Gelfand AE. Hybrid dirichlet mixture models for functional data Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 755-782. DOI: 10.1111/J.1467-9868.2009.00708.X |
0.421 |
|
| 2009 |
Sang H, Gelfand AE. Hierarchical modeling for extreme values observed over space and time Environmental and Ecological Statistics. 16: 407-426. DOI: 10.1007/S10651-007-0078-0 |
0.535 |
|
| 2009 |
Pai J, Ravishanker N, Gelfand AE. Bayesian analysis of concurrent time series with application to regional IBM revenue data Journal of Forecasting. 13: 463-479. DOI: 10.1002/For.3980130505 |
0.503 |
|
| 2008 |
Liang S, Carlin BP, Gelfand AE. ANALYSIS OF MINNESOTA COLON AND RECTUM CANCER POINT PATTERNS WITH SPATIAL AND NONSPATIAL COVARIATE INFORMATION. The Annals of Applied Statistics. 3: 943-962. PMID 20414368 DOI: 10.1214/09-Aoas240 |
0.329 |
|
| 2008 |
Banerjee S, Gelfand AE, Finley AO, Sang H. Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 70: 825-848. PMID 19750209 DOI: 10.1111/J.1467-9868.2008.00663.X |
0.674 |
|
| 2008 |
Rappold AG, Gelfand AE, Holland DM. Modeling mercury deposition through latent space-time processes. Journal of the Royal Statistical Society. Series C, Applied Statistics. 57: 187-205. PMID 19173009 DOI: 10.1111/J.1467-9876.2007.00608.X |
0.356 |
|
| 2008 |
Puggioni G, Gelfand AE, Elmore JG. Joint modeling of sensitivity and specificity. Statistics in Medicine. 27: 1745-61. PMID 18167634 DOI: 10.1002/Sim.3186 |
0.431 |
|
| 2008 |
Kottas A, Duan JA, Gelfand AE. Modeling disease incidence data with spatial and spatio temporal dirichlet process mixtures. Biometrical Journal. Biometrische Zeitschrift. 50: 29-42. PMID 17926327 DOI: 10.1002/Bimj.200610375 |
0.766 |
|
| 2008 |
Sang H, Gelfand AE, Lennard C, Hegerl G, Hewitson B. Interpreting self-organizing maps through space-time data models Annals of Applied Statistics. 2: 1194-1216. DOI: 10.1214/08-Aoas174 |
0.342 |
|
| 2008 |
Rodríguez A, Dunson DB, Gelfand AE. The Nested Dirichlet Process Journal of the American Statistical Association. 103: 1131-1154. DOI: 10.1198/016214508000000553 |
0.359 |
|
| 2007 |
Sahu SK, Gelfand AE, Holland DM. High Resolution Space-Time Ozone Modeling for Assessing Trends. Journal of the American Statistical Association. 102: 1221-1234. PMID 19759840 DOI: 10.1198/016214507000000031 |
0.466 |
|
| 2007 |
Bhattacharya S, Gelfand AE, Holsinger KE. Model fitting and inference under Latent Equilibrium Processes. Statistics and Computing. 17: 193-208. PMID 18836571 DOI: 10.1007/S11222-006-9015-6 |
0.411 |
|
| 2007 |
Woodard DB, Gelfand AE, Barlow WE, Elmore JG. Performance assessment for radiologists interpreting screening mammography. Statistics in Medicine. 26: 1532-51. PMID 16847870 DOI: 10.1002/Sim.2633 |
0.378 |
|
| 2007 |
Duan JA, Guindani M, Gelfand AE. Generalized spatial dirichlet process models Biometrika. 94: 809-825. DOI: 10.1093/Biomet/Asm071 |
0.488 |
|
| 2007 |
Gelfand AE, Banerjee S, Sirmans CF, Tu Y, Eng Ong S. Multilevel modeling using spatial processes: Application to the Singapore housing market Computational Statistics and Data Analysis. 51: 3567-3579. DOI: 10.1016/J.Csda.2006.11.019 |
0.654 |
|
| 2007 |
Majumdar A, Gelfand AE. Multivariate spatial modeling for geostatistical data using convolved covariance functions Mathematical Geology. 39: 225-245. DOI: 10.1007/S11004-006-9072-6 |
0.703 |
|
| 2007 |
Gelfand AE. Guest Editorial: Spatial and spatio-temporal modeling in environmental and ecological statistics Environmental and Ecological Statistics. 14: 191-192. DOI: 10.1007/S10651-007-0026-Z |
0.452 |
|
| 2007 |
Barber JJ, Gelfand AE. Hierarchical spatial modeling for estimation of population size Environmental and Ecological Statistics. 14: 193-205. DOI: 10.1007/S10651-007-0021-4 |
0.319 |
|
| 2006 |
Banerjee S, Gelfand AE. Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models. Journal of the American Statistical Association. 101: 1487-1501. PMID 20221318 DOI: 10.1198/016214506000000041 |
0.597 |
|
| 2006 |
Clark JS, Gelfand AE. A future for models and data in environmental science. Trends in Ecology & Evolution. 21: 375-80. PMID 16815437 DOI: 10.1016/J.Tree.2006.03.016 |
0.594 |
|
| 2006 |
Latimer AM, Wu S, Gelfand AE, Silander JA. Building statistical models to analyze species distributions. Ecological Applications : a Publication of the Ecological Society of America. 16: 33-50. PMID 16705959 DOI: 10.1890/04-0609 |
0.529 |
|
| 2006 |
Paliwal P, Gelfand AE, Abraham L, Barlow W, Elmore JG. Examining accuracy of screening mammography using an event order model. Statistics in Medicine. 25: 267-83. PMID 16381074 DOI: 10.1002/Sim.2220 |
0.595 |
|
| 2006 |
Paliwal P, Gelfand AE. Estimating measures of diagnostic accuracy when some covariate information is missing. Statistics in Medicine. 25: 2981-93. PMID 16345056 DOI: 10.1002/Sim.2436 |
0.628 |
|
| 2006 |
Gelfand AE, Silander JA, Wu S, Latimer A, Lewis PO, Rebelo AG, Holder M. Explaining species distribution patterns through hierarchical modeling Bayesian Analysis. 1: 41-92. DOI: 10.1214/06-Ba102 |
0.432 |
|
| 2006 |
Sahu SK, Gelfand AE, Holland DM. Spatio-temporal modeling of fine particulate matter Journal of Agricultural, Biological, and Environmental Statistics. 11: 61-86. DOI: 10.1198/108571106X95746 |
0.392 |
|
| 2006 |
Majumdar A, Munneke HJ, Gelfand AE, Banerjee S, Slrmans CF. Gradients in spatial response surfaces with application to urban land values Journal of Business and Economic Statistics. 24: 77-90. DOI: 10.1198/073500105000000162 |
0.707 |
|
| 2006 |
Guindani M, Gelfand AE. Smoothness properties and gradient analysis under spatial Dirichlet process models Methodology and Computing in Applied Probability. 8: 159-189. DOI: 10.1007/S11009-006-8547-8 |
0.401 |
|
| 2006 |
Xia G, Miranda ML, Gelfand AE. Approximately optimal spatial design approaches for environmental health data Environmetrics. 17: 363-385. DOI: 10.1002/Env.775 |
0.425 |
|
| 2006 |
Barber JJ, Gelfand AE, Silander JA. Modelling map positional error to infer true feature location Canadian Journal of Statistics. 34: 659-676. DOI: 10.1002/Cjs.5550340407 |
0.309 |
|
| 2005 |
Gustafson P, Gelfand AE, Sahu SK, Johnson WO, Hanson TE, Joseph L, Lee J. On model expansion, model contraction, identifiability and prior Information: Two illustrative scenarios involving mismeasured variables Statistical Science. 20: 111-140. DOI: 10.1214/088342305000000098 |
0.391 |
|
| 2005 |
Short M, Carlin BP, Gelfand AE. Bivariate spatial process modeling for constructing indicator or intensity weighted spatial CDFs Journal of Agricultural, Biological, and Environmental Statistics. 10: 259-275. DOI: 10.1198/108571105X58568 |
0.407 |
|
| 2005 |
Gelfand AE, Kottas A, Maceachern SN. Bayesian nonparametric spatial modeling with dirichlet process mixing Journal of the American Statistical Association. 100: 1021-1035. DOI: 10.1198/016214504000002078 |
0.755 |
|
| 2005 |
Gelfand AE, Schmidt AM, Wu S, Silander JA, Latimer A, Rebelo AG. Modelling species diversity through species level hierarchical modelling Journal of the Royal Statistical Society. Series C: Applied Statistics. 54: 1-20. DOI: 10.1111/J.1467-9876.2005.00466.X |
0.443 |
|
| 2005 |
Majumdar A, Gelfand AE, Banerjee S. Spatio-temporal change-point modeling Journal of Statistical Planning and Inference. 130: 149-166. DOI: 10.1016/J.Jspi.2003.08.022 |
0.719 |
|
| 2005 |
Agarwal DK, Silander JA, Gelfand AE, Dewar RE, Mickelson JG. Tropical deforestation in Madagascar: Analysis using hierarchical, spatially explicit, Bayesian regression models Ecological Modelling. 185: 105-131. DOI: 10.1016/J.Ecolmodel.2004.11.023 |
0.671 |
|
| 2005 |
Agarwal DK, Gelfand AE. Slice sampling for simulation based fitting of spatial data models Statistics and Computing. 15: 61-69. DOI: 10.1007/S11222-005-4790-Z |
0.674 |
|
| 2005 |
Gelfand AE, Banerjee S, Gamerman D. Spatial process modelling for univariate and multivariate dynamic spatial data Environmetrics. 16: 465-479. DOI: 10.1002/Env.715 |
0.673 |
|
| 2004 |
Banerjee S, Gelfand AE, Knight JR, Sirmans CF. Spatial Modeling of House Prices Using Normalized Distance-Weighted Sums of Stationary Processes Journal of Business and Economic Statistics. 22: 206-213. DOI: 10.1198/073500104000000091 |
0.665 |
|
| 2004 |
Gelfand AE, Ecker MD, Knight JR, Sirmans CF. The dynamics of location in home price Journal of Real Estate Finance and Economics. 29: 149-166. DOI: 10.1023/B:Real.0000035308.15346.0A |
0.417 |
|
| 2004 |
Gelfand AE, Schmidt AM, Banerjee S, Sirmans CF, Fuentes M, Higdon D, Sansó B. Nonstationary multivariate process modeling through spatially varying coregionalization Test. 13: 263-312. DOI: 10.1007/Bf02595775 |
0.665 |
|
| 2003 |
Gelfand AE, Vounatsou P. Proper multivariate conditional autoregressive models for spatial data analysis. Biostatistics (Oxford, England). 4: 11-25. PMID 12925327 DOI: 10.1093/Biostatistics/4.1.11 |
0.5 |
|
| 2003 |
Trevisani M, Gelfand AE. Inequalities between expected marginal log-likelihoods, with implications for likelihood-based model complexity and comparison measures Canadian Journal of Statistics. 31: 239-250. DOI: 10.2307/3316084 |
0.481 |
|
| 2003 |
Banerjee S, Gelfand AE, Sirmans CF. Directional Rates of Change under Spatial Process Models Journal of the American Statistical Association. 98: 946-954. DOI: 10.1198/C16214503000000909 |
0.648 |
|
| 2003 |
Gelfand AE, Kim HJ, Sirmans CF, Banerjee S. Spatial modeling with spatially varying coefficient processes Journal of the American Statistical Association. 98: 387-396. DOI: 10.1198/016214503000170 |
0.642 |
|
| 2003 |
Gelfand AE, Kottas A. Bayesian Semiparametric Regression for Median Residual Life Scandinavian Journal of Statistics. 30: 651-665. DOI: 10.1111/1467-9469.00356 |
0.719 |
|
| 2003 |
Vounatsou P, Smith T, Gelfand AE. Spatial modelling of gene frequencies in the presence of undetectable alleles Journal of Applied Statistics. 30: 49-62. DOI: 10.1080/0266476022000018501 |
0.372 |
|
| 2003 |
Schmidt AM, Gelfand AE. A Bayesian coregionalization approach for multivariate pollutant data Journal of Geophysical Research D: Atmospheres. 108: STS 10-1 - STS 10-8. DOI: 10.1029/2002Jd002905 |
0.511 |
|
| 2003 |
Ecker MD, Gelfand AE. Spatial modeling and prediction under stationary non-geometric range anistropy Environmental and Ecological Statistics. 10: 165-178. DOI: 10.1023/A:1023600123559 |
0.513 |
|
| 2003 |
Vlachos PK, Gelfand AE. On the calibration of Bayesian model choice criteria Journal of Statistical Planning and Inference. 111: 223-234. DOI: 10.1016/S0378-3758(02)00304-X |
0.417 |
|
| 2003 |
Banerjee S, Gelfand AE. On smoothness properties of spatial processes Journal of Multivariate Analysis. 84: 85-100. DOI: 10.1016/S0047-259X(02)00016-7 |
0.614 |
|
| 2003 |
Zhu L, Carlin BP, Gelfand AE. Hierarchical regression with misaligned spatial data: Relating ambient ozone and pediatric asthma ER visits in Atlanta Environmetrics. 14: 537-557. DOI: 10.1002/Env.614 |
0.382 |
|
| 2002 |
Kottas A, Branco MD, Gelfand AE. A nonparametric Bayesian modeling approach for cytogenetic dosimetry. Biometrics. 58: 593-600. PMID 12229994 DOI: 10.1111/J.0006-341X.2002.00593.X |
0.69 |
|
| 2002 |
Wang F, Gelfand AE. A Simulation-based Approach to Bayesian Sample Size Determination for Performance under a Given Model and for Separating Models Statistical Science. 17: 193-208. DOI: 10.1214/Ss/1030550861 |
0.468 |
|
| 2002 |
Agarwal DK, Gelfand AE, Silander JA. Investigating tropical deforestation using two-stage spatially misaligned regression models Journal of Agricultural, Biological, and Environmental Statistics. 7: 420-439. DOI: 10.1198/108571102348 |
0.601 |
|
| 2002 |
Gelfand AE, Kottas A. A computational approach for full nonparametric Bayesian inference under Dirichlet process mixture models Journal of Computational and Graphical Statistics. 11: 289-305. DOI: 10.1198/106186002760180518 |
0.724 |
|
| 2002 |
Clapp JM, Kim HJ, Gelfand AE. Predicting spatial patterns of house prices using LPR and Bayesian smoothing Real Estate Economics. 30: 505-532. DOI: 10.1111/1540-6229.00048 |
0.483 |
|
| 2002 |
Sfiridis JM, Gelfand AE. A survey of sampling-based Bayesian analysis of financial data Applied Mathematical Finance. 9: 273-291. DOI: 10.1080/1350486022000026885 |
0.388 |
|
| 2002 |
Agarwal DK, Gelfand AE, Citron-Pousty S. Zero-inflated models with application to spatial count data Environmental and Ecological Statistics. 9: 341-355. DOI: 10.1023/A:1020910605990 |
0.692 |
|
| 2001 |
Gelfand AE, Zhu L, Carlin BP. On the change of support problem for spatio-temporal data. Biostatistics (Oxford, England). 2: 31-45. PMID 12933555 DOI: 10.1093/Biostatistics/2.1.31 |
0.416 |
|
| 2001 |
Kottas A, Gelfand AE. Bayesian Semiparametric Median Regression Modeling Journal of the American Statistical Association. 96: 1458-1468. DOI: 10.1198/016214501753382363 |
0.74 |
|
| 2001 |
Kottas A, Gelfand AE. Methodology and Computing in Applied Probability. 3: 427-442. DOI: 10.1023/A:1015420304825 |
0.74 |
|
| 2001 |
Gelfand AE, Kottas A. Nonparametric Bayesian modeling for stochastic order Annals of the Institute of Statistical Mathematics. 53: 865-876. DOI: 10.1023/A:1014629724913 |
0.713 |
|
| 2001 |
Gelfand AE, Carlin BP, Trevisani M. On computation using Gibbs sampling for multilevel models Statistica Sinica. 11: 981-1003. |
0.336 |
|
| 2000 |
Vounatsou P, Smith T, Gelfand AE. Spatial modelling of multinomial data with latent structure: an application to geographical mapping of human gene and haplotype frequencies. Biostatistics (Oxford, England). 1: 177-89. PMID 12933518 DOI: 10.1093/Biostatistics/1.2.177 |
0.437 |
|
| 2000 |
Gelfand AE, Wang F. Modelling the cumulative risk for a false-positive under repeated screening events. Statistics in Medicine. 19: 1865-79. PMID 10867676 DOI: 10.1002/1097-0258(20000730)19:14<1865::Aid-Sim512>3.0.Co;2-M |
0.312 |
|
| 2000 |
Gelfand AE, Ghosh SK, Christiansen C, Soumerai SB, McLaughlin TJ. Proportional hazards models: A latent competing risk approach Journal of the Royal Statistical Society. Series C: Applied Statistics. 49: 385-397. DOI: 10.1111/1467-9876.00199 |
0.418 |
|
| 2000 |
Mugglin AS, Carlin BP, Gelfand AE. Fully Model-Based Approaches for Spatially Misaligned Data Journal of the American Statistical Association. 95: 877-887. DOI: 10.1080/01621459.2000.10474279 |
0.495 |
|
| 2000 |
Banerjee S, Gelfand AE, Polasek W. Geostatistical modelling for spatial interaction data with application to postal service performance Journal of Statistical Planning and Inference. 90: 87-105. DOI: 10.1016/S0378-3758(00)00111-7 |
0.645 |
|
| 1999 |
Gelfand AE, Sahu SK. Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models Journal of the American Statistical Association. 94: 247-253. DOI: 10.1080/01621459.1999.10473840 |
0.462 |
|
| 1999 |
Ecker MD, Gelfand AE. Bayesian modeling and inference for geometrically anisotropic spatial data Mathematical Geology. 31: 67-83. DOI: 10.1023/A:1007593314277 |
0.458 |
|
| 1998 |
Carlin BP, Kadane JB, Gelfand AE. Approaches for optimal sequential decision analysis in clinical trials. Biometrics. 54: 964-75. PMID 9750245 DOI: 10.2307/2533849 |
0.344 |
|
| 1998 |
Knight JR, Sirmans CF, Gelfand AE, Ghosh SK. Analyzing real estate data problems using the Gibbs sampler Real Estate Economics. 26: 469-492. DOI: 10.1111/1540-6229.00753 |
0.356 |
|
| 1998 |
Gelfand AE, Ghosh SK. Model choice: A minimum posterior predictive loss approach Biometrika. 85: 1-11. DOI: 10.1093/Biomet/85.1.1 |
0.459 |
|
| 1998 |
Gelfand AE, Ghosh SK, Knight JR, Sirmans CF. Spatio-temporal modeling of residential sales data Journal of Business and Economic Statistics. 16: 312-321. DOI: 10.1080/07350015.1998.10524770 |
0.502 |
|
| 1998 |
Dey DK, Gelfand AE, Swartz TB, Vlachos PK. A simulation-intensive approach for checking hierarchical models Test. 7: 325-346. DOI: 10.1007/Bf02565116 |
0.498 |
|
| 1997 |
Ecker MD, Gelfand AE. Bayesian Variogram Modeling for an Isotropic Spatial Process Journal of Agricultural, Biological, and Environmental Statistics. 2: 347-369. DOI: 10.2307/1400508 |
0.555 |
|
| 1997 |
Gelfand AE, Mallick BK, Polasek W. Broken biological size relationships: A truncated semiparametric regression approach with measurement error Journal of the American Statistical Association. 92: 836-845. DOI: 10.1080/01621459.1997.10474039 |
0.413 |
|
| 1997 |
Mukhopadhyay S, Gelfand AE. Dirichlet process mixed generalized linear models Journal of the American Statistical Association. 92: 633-639. DOI: 10.1080/01621459.1997.10474014 |
0.449 |
|
| 1997 |
Waller LA, Carlin BP, Xia H, Gelfand AE. Hierarchical spatio-temporal mapping of disease rates Journal of the American Statistical Association. 92: 607-617. DOI: 10.1080/01621459.1997.10474012 |
0.411 |
|
| 1997 |
Dey DK, Gelfand AE, Peng F. Overdispersed generalized linear models Journal of Statistical Planning and Inference. 64: 93-107. DOI: 10.1016/S0378-3758(96)00207-8 |
0.479 |
|
| 1996 |
Mallick BK, Gelfand AE. Semiparametric errors-in-variables models: A Bayesian approach Journal of Statistical Planning and Inference. 52: 307-321. DOI: 10.1016/0378-3758(95)00139-5 |
0.436 |
|
| 1995 |
Gelfand AE, Mallick BK. Bayesian analysis of proportional hazards models built from monotone functions. Biometrics. 51: 843-52. PMID 7548703 DOI: 10.2307/2532986 |
0.453 |
|
| 1995 |
Gelfand AE, Sahu SK, Carlin BP. Efficient parametrisations for normal linear mixed models Biometrika. 82: 479-488. DOI: 10.1093/Biomet/82.3.479 |
0.469 |
|
| 1995 |
Gelfand AE, Mallick BK, Dey DK. Modeling expert opinion arising as a partial probabilistic specification Journal of the American Statistical Association. 90: 598-604. DOI: 10.1080/01621459.1995.10476552 |
0.395 |
|
| 1994 |
Wakefield JC, Smith AFM, Racine-Poon A, Gelfand AE. Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler Applied Statistics. 43: 201. DOI: 10.2307/2986121 |
0.4 |
|
| 1994 |
Gelfand AE, Dey DK. Bayesian Model Choice: Asymptotics and Exact Calculations Journal of the Royal Statistical Society: Series B (Methodological). 56: 501-514. DOI: 10.1111/J.2517-6161.1994.Tb01996.X |
0.474 |
|
| 1994 |
Mallick BK, Gelfand AE. Generalized linear models with unknown link functions Biometrika. 81: 237-245. DOI: 10.1093/Biomet/81.2.237 |
0.459 |
|
| 1994 |
Gelfand AE, Sahu SK. On markov chain monte carlo acceleration Journal of Computational and Graphical Statistics. 3: 261-276. DOI: 10.1080/10618600.1994.10474644 |
0.321 |
|
| 1993 |
Gelfand AE, Carlin BP. Maximum-likelihood estimation for constrained- or missing-data models Canadian Journal of Statistics. 21: 303-311. DOI: 10.2307/3315756 |
0.424 |
|
| 1993 |
Carlin BP, Gelfand AE. Parametric likelihood inference for record breaking problems Biometrika. 80: 507-515. DOI: 10.1093/Biomet/80.3.507 |
0.441 |
|
| 1992 |
Carlin BP, Gelfand AE, Smith AFM. Hierarchical Bayesian Analysis of Changepoint Problems Applied Statistics. 41: 389. DOI: 10.2307/2347570 |
0.388 |
|
| 1992 |
Lange N, Carlin BP, Gelfand AE. Hierarchical Bayes models for the progression of HIV infection using longitudinal CD4 T-cell numbers Journal of the American Statistical Association. 87: 615-626. DOI: 10.1080/01621459.1992.10475258 |
0.381 |
|
| 1992 |
Gelfand AE, Smith AFM, Lee TM. Bayesian analysis of constrained parameter and truncated data problems using gibbs sampling Journal of the American Statistical Association. 87: 523-532. DOI: 10.1080/01621459.1992.10475235 |
0.432 |
|
| 1992 |
Smith AFM, Gelfand AE. Bayesian statistics without tears: A sampling-resampling perspective American Statistician. 46: 84-88. DOI: 10.1080/00031305.1992.10475856 |
0.332 |
|
| 1991 |
Carlin BP, Gelfand AE. A Sample Reuse Method for Accurate Parametric Empirical Bayes Confidence Intervals Journal of the Royal Statistical Society: Series B (Methodological). 53: 189-200. DOI: 10.1111/J.2517-6161.1991.Tb01817.X |
0.349 |
|
| 1991 |
Gelfand AE, Kuo L. Nonparametric Bayesian bioassay including ordered polytomous response Biometrika. 78: 657-666. DOI: 10.1093/Biomet/78.3.657 |
0.361 |
|
| 1991 |
Gelfand AE, Smith AF. Gibbs sampling for marginal posterior expectations Communications in Statistics - Theory and Methods. 20: 1747-1766. DOI: 10.1080/03610929108830595 |
0.31 |
|
| 1990 |
Gelfand AE, Smith AFM. Sampling-based approaches to calculating marginal densities Journal of the American Statistical Association. 85: 398-409. DOI: 10.1080/01621459.1990.10476213 |
0.35 |
|
| 1990 |
Carlin BP, Gelfand AE. Approaches for empirical bayes confidence intervals Journal of the American Statistical Association. 85: 105-114. DOI: 10.1080/01621459.1990.10475312 |
0.361 |
|
| 1990 |
Gelfand AE, Hills SE, Racine-Poon A, Smith AFM. Illustration of Bayesian inference in normal data models using Gibbs sampling Journal of the American Statistical Association. 85: 972-985. DOI: 10.1080/01621459.1990.10474968 |
0.418 |
|
| 1989 |
Dey DK, Gelfand AE. Improved estimation of a patterned covariance matrix Journal of Multivariate Analysis. 31: 107-116. DOI: 10.1016/0047-259X(89)90053-5 |
0.321 |
|
| 1989 |
Leeds S, Gelfand AE. Estimation for dirichlet mixed models Naval Research Logistics. 36: 197-214. DOI: 10.1002/1520-6750(198904)36:2<197::Aid-Nav3220360207>3.0.Co;2-6 |
0.322 |
|
| 1988 |
Gelfand AE, Dey DK. Improved Estimation Of Variance Components In Mixed Models Communications in Statistics - Theory and Methods. 17: 3313-3331. DOI: 10.1080/03610928808829806 |
0.343 |
|
| 1988 |
Gelfand AE, Dey DK. Improved estimation of the disturbance variance in a linear regression model Journal of Econometrics. 39: 387-395. DOI: 10.1016/0304-4076(88)90065-6 |
0.326 |
|
| 1987 |
Gelfand AE. Mean square error behavior for prediction in linear regression models Communications in Statistics - Theory and Methods. 16: 1717-1724. DOI: 10.1080/03610928708829465 |
0.337 |
|
| 1983 |
Cattin P, Gelfand AE, Danes J. A Simple Bayesian Procedure for Estimation in a Conjoint Model Journal of Marketing Research. 20: 29-35. DOI: 10.1177/002224378302000104 |
0.413 |
|
| 1983 |
Gelfand AE. Estimation in noncentral distributions Communications in Statistics - Theory and Methods. 12: 463-475. DOI: 10.1080/03610928308828472 |
0.322 |
|
| 1982 |
Gelfand AE, Walker CC. On the character of an distance between states in a binary switching net. Biological Cybernetics. 43: 79-86. PMID 7059628 DOI: 10.1007/Bf00336970 |
0.312 |
|
| 1977 |
Gelfand AE, Solomon H. On the Effect of Jury Size: Rejoinder Journal of the American Statistical Association. 72: 536. DOI: 10.2307/2286213 |
0.523 |
|
| 1977 |
Gelfand AE, Walker CC. The Distribution of Cycle Lengths in a Class of Abstract Systems International Journal of General Systems. 4: 39-45. DOI: 10.1080/03081077708960654 |
0.309 |
|
| 1975 |
Gelfand AE, Solomon H. Analyzing the decision-making process of the american jury Journal of the American Statistical Association. 70: 305-310. DOI: 10.1080/01621459.1975.10479863 |
0.575 |
|
| 1974 |
Gelfand AE. Rapid seriation methods for multivariate observations through similarities Communications in Statistics. 3: 635-645. DOI: 10.1080/03610927408827164 |
0.31 |
|
| 1974 |
Gelfand AE, Solomon H. Modeling jury verdicts in the american legal system Journal of the American Statistical Association. 69: 32-37. DOI: 10.1080/01621459.1974.10480124 |
0.606 |
|
| 1974 |
Gelfand AE, Thomas DL. Confidence coefficients for approximate binomial interval estimates under hypergeometric models American Statistician. 28: 52-55. DOI: 10.1080/00031305.1974.10479067 |
0.358 |
|
| 1973 |
Gelfand AE, Solomon H. A study of poisson’s models for jury verdicts in criminal and civil trials Journal of the American Statistical Association. 68: 271-278. DOI: 10.1080/01621459.1973.10482419 |
0.625 |
|
| 1971 |
Gelfand AE. Seriation Methods for Archaeological Materials American Antiquity. 36: 263-274. DOI: 10.2307/277714 |
0.325 |
|
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