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Sudipto Banerjee, Ph.D. - Publications

Affiliations: 
2000 University of Connecticut, Storrs, CT, United States 
Area:
Statistics
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125 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Norris CL, Sandler DP, Pratt GC, Stenzel MR, Stewart PA, Jackson WB, Gerr FE, Groth C, Banerjee S, Lawrence KG, Kwok RK, Werder EJ, Engel LS. Association between spill-related exposure to fine particulate matter and peripheral motor and sensory nerve function among oil spill response and cleanup workers following the Deepwater Horizon oil spill. Journal of Exposure Science & Environmental Epidemiology. PMID 37443296 DOI: 10.1038/s41370-023-00558-6  0.734
2023 Chen D, Sandler DP, Keil AP, Heiss G, Whitsel EA, Edwards JK, Stewart PA, Stenzel MR, Groth CP, Ramachandran G, Banerjee S, Huynh TB, Jackson WB, Blair A, Lawrence KG, et al. Volatile Hydrocarbon Exposures and Incident Coronary Heart Disease Events: Up to Ten Years of Follow-up among Oil Spill Workers. Environmental Health Perspectives. 131: 57006. PMID 37224072 DOI: 10.1289/EHP11859  0.733
2023 Chen D, Werder EJ, Stewart PA, Stenzel MR, Gerr FE, Lawrence KG, Groth CP, Huynh TB, Ramachandran G, Banerjee S, Jackson WB, Christenbury K, Kwok RK, Sandler DP, Engel LS. Exposure to volatile hydrocarbons and neurologic function among oil spill workers up to 6 years after the Deepwater Horizon disaster. Environmental Research. 116069. PMID 37149022 DOI: 10.1016/j.envres.2023.116069  0.744
2022 Chen D, Sandler DP, Keil AP, Heiss G, Whitsel EA, Pratt GC, Stewart PA, Stenzel MR, Groth CP, Banerjee S, Huynh TB, Edwards JK, Jackson WB, Engeda J, Kwok RK, et al. Fine particulate matter and incident coronary heart disease events up to 10 years of follow-up among Deepwater Horizon oil spill workers. Environmental Research. 114841. PMID 36403648 DOI: 10.1016/j.envres.2022.114841  0.717
2022 Lawrence KG, Niehoff NM, Keil AP, Braxton Jackson W, Christenbury K, Stewart PA, Stenzel MR, Huynh TB, Groth CP, Ramachandran G, Banerjee S, Pratt GC, Curry MD, Engel LS, Sandler DP. Associations between airborne crude oil chemicals and symptom-based asthma. Environment International. 167: 107433. PMID 35921771 DOI: 10.1016/j.envint.2022.107433  0.714
2022 Stewart P, Groth CP, Huynh TB, Gorman Ng M, Pratt GC, Arnold SF, Ramachandran G, Banerjee S, Cherrie JW, Christenbury K, Kwok RK, Blair A, Engel LS, Sandler DP, Stenzel MR. Assessing Exposures from the Deepwater Horizon Oil Spill Response and Clean-up. Annals of Work Exposures and Health. 66: i3-i22. PMID 35390131 DOI: 10.1093/annweh/wxab107  0.758
2022 Stenzel MR, Groth CP, Huynh TB, Ramachandran G, Banerjee S, Kwok RK, Engel LS, Blair A, Sandler DP, Stewart PA. Exposure Group Development in Support of the NIEHS GuLF Study. Annals of Work Exposures and Health. 66: i23-i55. PMID 35390128 DOI: 10.1093/annweh/wxab093  0.765
2022 Kwok RK, Jackson WB, Curry MD, Stewart PA, McGrath JA, Stenzel M, Huynh TB, Groth CP, Ramachandran G, Banerjee S, Pratt GC, Miller AK, Zhang X, Engel LS, Sandler DP. Association of Deepwater Horizon Oil Spill Response and Cleanup Work With Risk of Developing Hypertension. Jama Network Open. 5: e220108. PMID 35195699 DOI: 10.1001/jamanetworkopen.2022.0108  0.72
2022 Chen D, Lawrence KG, Pratt GC, Stenzel MR, Stewart PA, Groth CP, Banerjee S, Christenbury K, Curry MD, Jackson WB, Kwok RK, Blair A, Engel LS, Sandler DP. Fine Particulate Matter and Lung Function among Burning-Exposed Oil Spill Workers. Environmental Health Perspectives. 130: 27001. PMID 35103485 DOI: 10.1289/EHP8930  0.728
2021 Ramachandran G, Groth CP, Huynh TB, Banerjee S, Stewart PA, Engel LS, Kwok RK, Sandler DP, Stenzel M. Using Real-Time Area VOC Measurements to Estimate Total Hydrocarbons Exposures to Workers Involved in the Deepwater Horizon Oil Spill. Annals of Work Exposures and Health. PMID 34516617 DOI: 10.1093/annweh/wxab066  0.755
2021 Groth CP, Huynh TB, Banerjee S, Ramachandran G, Stewart PA, Quick H, Sandler DP, Blair A, Engel LS, Kwok RK, Stenzel MR. Linear Relationships Between Total Hydrocarbons and Benzene, Toluene, Ethylbenzene, Xylene, and n-Hexane during the Deepwater Horizon Response and Clean-up. Annals of Work Exposures and Health. PMID 34473212 DOI: 10.1093/annweh/wxab064  0.692
2021 Stenzel MR, Groth CP, Banerjee S, Ramachandran G, Kwok RK, Engel LS, Sandler DP, Stewart PA. Exposure Assessment Techniques Applied to the Highly Censored Deepwater Horizon Gulf Oil Spill Personal Measurements. Annals of Work Exposures and Health. PMID 34417597 DOI: 10.1093/annweh/wxab060  0.746
2021 Huynh TB, Groth CP, Ramachandran G, Banerjee S, Stenzel M, Blair A, Sandler DP, Engel LS, Kwok RK, Stewart PA. Estimates of Inhalation Exposures among Land Workers during the Deepwater Horizon Oil Spill Clean-up Operations. Annals of Work Exposures and Health. PMID 34368831 DOI: 10.1093/annweh/wxab028  0.743
2021 Groth CP, Banerjee S, Ramachandran G, Stewart PA, Sandler DP, Blair A, Engel LS, Kwok RK, Stenzel MR. Methods for the Analysis of 26 Million VOC Area Measurements during the Deepwater Horizon Oil Spill Clean-up. Annals of Work Exposures and Health. PMID 34184747 DOI: 10.1093/annweh/wxab038  0.748
2021 Groth CP, Banerjee S, Ramachandran G, Stewart PA, Sandler DP, Blair A, Engel LS, Kwok RK, Stenzel MR. Methods for the Analysis of 26 Million VOC Area Measurements during the Deepwater Horizon Oil Spill Clean-up. Annals of Work Exposures and Health. PMID 34184747 DOI: 10.1093/annweh/wxab038  0.748
2021 Huynh TB, Groth CP, Ramachandran G, Banerjee S, Stenzel M, Blair A, Sandler DP, Engel LS, Kwok RK, Stewart PA. Estimates of Inhalation Exposures to Oil-Related Components on the Supporting Vessels During the Deepwater Horizon Oil Spill. Annals of Work Exposures and Health. PMID 33791771 DOI: 10.1093/annweh/wxaa113  0.752
2020 Wang B, Banerjee S, Gupta R. Bayesian Spatial Modeling for Housing Data in South Africa. Sankhya. Series B (2008). 83: 395-414. PMID 35463799 DOI: 10.1007/s13571-020-00233-y  0.308
2020 Huynh TB, Groth CP, Ramachandran G, Banerjee S, Stenzel M, Quick H, Blair A, Engel LS, Kwok RK, Sandler DP, Stewart PA. Estimates of Occupational Inhalation Exposures to Six Oil-Related Compounds on the Four Rig Vessels Responding to the Deepwater Horizon Oil Spill. Annals of Work Exposures and Health. PMID 33009797 DOI: 10.1093/annweh/wxaa072  0.741
2020 Pratt GC, Stenzel MR, Kwok RK, Groth CP, Banerjee S, Arnold SF, Engel LS, Sandler DP, Stewart PA. Modeled Air Pollution from In Situ Burning and Flaring of Oil and Gas Released Following the Deepwater Horizon Disaster. Annals of Work Exposures and Health. PMID 32936300 DOI: 10.1093/Annweh/Wxaa084  0.747
2020 Abdalla N, Banerjee S, Ramachandran G, Arnold S. Bayesian State Space Modeling of Physical Processes in Industrial Hygiene. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 62: 147-160. PMID 32499665 DOI: 10.1080/00401706.2019.1630009  0.414
2020 Banerjee S. Modeling massive spatial datasets using a conjugate Bayesian linear modeling framework Spatial Statistics. 37: 100417. DOI: 10.1016/J.Spasta.2020.100417  0.409
2020 Finley AO, Banerjee S. Bayesian spatially varying coefficient models in the spBayes R package Environmental Modelling & Software. 125: 104608. DOI: 10.1016/J.Envsoft.2019.104608  0.371
2020 Chan‐Golston AM, Banerjee S, Handcock MS. Bayesian inference for finite populations under spatial process settings Environmetrics. 31: 2606. DOI: 10.1002/Env.2606  0.363
2019 Taylor-Rodriguez D, Finley AO, Datta A, Babcock C, Andersen HE, Cook BD, Morton DC, Banerjee S. Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica. 29: 1155-1180. PMID 33311955 DOI: 10.5705/Ss.202018.0005  0.347
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  0.531
2019 Datta A, Zou H, Banerjee S. Bayesian High-Dimensional Regression for Change Point Analysis. Statistics and Its Interface. 12: 253-264. PMID 31543930 DOI: 10.4310/Sii.2019.V12.N2.A6  0.31
2019 Finley AO, Datta A, Cook BC, Morton DC, Andersen HE, Banerjee S. Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 28: 401-414. PMID 31543693 DOI: 10.1080/10618600.2018.1537924  0.302
2019 Guhaniyogi R, Banerjee S. Multivariate spatial meta kriging. Statistics & Probability Letters. 144: 3-8. PMID 30662104 DOI: 10.1016/J.Spl.2018.04.017  0.388
2019 Shirota S, Banerjee S. Scalable inference for space‐time Gaussian Cox processes Journal of Time Series Analysis. 40: 269-287. DOI: 10.1111/Jtsa.12457  0.355
2019 Zhang L, Datta A, Banerjee S. Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments † Statistical Analysis and Data Mining: the Asa Data Science Journal. 12: 197-209. DOI: 10.1002/Sam.11413  0.381
2018 Guhaniyogi R, Banerjee S. Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 60: 430-444. PMID 31007296 DOI: 10.1080/00401706.2018.1437474  0.407
2018 Groth C, Banerjee S, Ramachandran G, Stenzel MR, Stewart PA. Multivariate left-censored Bayesian model for predicting exposure using multiple chemical predictors. Environmetrics. 29. PMID 30467454 DOI: 10.1002/Env.2505  0.768
2018 Abdalla N, Banerjee S, Ramachandran G, Stenzel M, Stewart PA. Coastline Kriging: A Bayesian Approach. Annals of Work Exposures and Health. PMID 30052748 DOI: 10.1093/Annweh/Wxy058  0.52
2018 Bose M, Hodges JS, Banerjee S. Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects. Biometrics. PMID 29441529 DOI: 10.1111/Biom.12848  0.368
2018 Banerjee S. Comments on: Process modeling for slope and aspect with application to elevation data maps Test. 27: 773-775. DOI: 10.1007/S11749-018-0621-3  0.302
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  0.524
2017 Banerjee S. High-Dimensional Bayesian Geostatistics. Bayesian Analysis. 12: 583-614. PMID 29391920 DOI: 10.1214/17-Ba1056R  0.397
2017 Stewart PA, Stenzel MR, Ramachandran G, Banerjee S, Huynh TB, Groth CP, Kwok RK, Blair A, Engel LS, Sandler DP. Development of a total hydrocarbon ordinal job-exposure matrix for workers responding to the Deepwater Horizon disaster: The GuLF STUDY. Journal of Exposure Science & Environmental Epidemiology. PMID 29064482 DOI: 10.1038/Jes.2017.16  0.751
2017 Groth C, Banerjee S, Ramachandran G, Stenzel MR, Sandler DP, Blair A, Engel LS, Kwok RK, Stewart PA. Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the Deepwater Horizon Oil Spill. Annals of Work Exposures and Health. 61: 76-86. PMID 28395309 DOI: 10.1093/Annweh/Wxw003  0.785
2017 Finley AO, Banerjee S, Zhou Y, Cook BD, Babcock C. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables Remote Sensing of Environment. 190: 149-161. DOI: 10.1016/J.Rse.2016.12.004  0.355
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  0.588
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  0.594
2016 Datta A, Banerjee S, Finley AO, Hamm NAS, Schaap M. NONSEPARABLE DYNAMIC NEAREST NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS. The Annals of Applied Statistics. 10: 1286-1316. PMID 29657659 DOI: 10.1214/16-Aoas931  0.413
2016 Banerjee S. Spatial Data Analysis. Annual Review of Public Health. PMID 26789381 DOI: 10.1146/Annurev-Publhealth-032315-021711  0.368
2015 Li P, Banerjee S, Hanson TA, McBean AM. Bayesian Models for Detecting Difference Boundaries in Areal Data. Statistica Sinica. 25: 385-402. PMID 31656386 DOI: 10.5705/Ss.2013.238W  0.339
2015 Quick H, Carlin BP, Banerjee S. Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data. Journal of the Royal Statistical Society. Series C, Applied Statistics. 64: 799-813. PMID 26692587 DOI: 10.1111/Rssc.12106  0.338
2015 Huynh T, Quick H, Ramachandran G, Banerjee S, Stenzel M, Sandler DP, Engel LS, Kwok RK, Blair A, Stewart PA. A Comparison of the β-Substitution Method and a Bayesian Method for Analyzing Left-Censored Data. The Annals of Occupational Hygiene. PMID 26209598 DOI: 10.1093/Annhyg/Mev049  0.355
2015 Quick H, Banerjee S, Carlin BP. Bayesian modeling and analysis for gradients in spatiotemporal processes. Biometrics. PMID 25898989 DOI: 10.1111/Biom.12305  0.424
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  0.563
2015 Stewart P, Stenzel M, Banerjee S, Blair A, Cherrie J, Engel L, Groth C, Huynh T, Kwok R, McDowell W, Gorman MN, Ramachandran G, Sandler D, Sleuwenhoek A. The NIEHS gulf study: Questionnaire results and use of job exposure matrices to link inhalation and dermal exposure estimates to study subjects Occupational and Environmental Medicine. 71: A37. DOI: 10.1136/Oemed-2014-102362.114  0.727
2015 Gelfand AE, Banerjee S. Bayesian wombling: Finding rapid change in spatial maps Wiley Interdisciplinary Reviews: Computational Statistics. DOI: 10.1002/Wics.1360  0.56
2014 Quick H, Groth C, Banerjee S, Carlin BP, Stenzel MR, Stewart PA, Sandler DP, Engel LS, Kwok RK. Exploration of the use of Bayesian modeling of gradients for censored spatiotemporal data from the Deepwater Horizon oil spill. Spatial Statistics. 9: 166-179. PMID 25599019 DOI: 10.1016/J.Spasta.2014.03.002  0.768
2014 Huynh T, Ramachandran G, Banerjee S, Monteiro J, Stenzel M, Sandler DP, Engel LS, Kwok RK, Blair A, Stewart PA. Comparison of methods for analyzing left-censored occupational exposure data. The Annals of Occupational Hygiene. 58: 1126-42. PMID 25261453 DOI: 10.1093/Annhyg/Meu067  0.397
2014 Banerjee S, Ramachandran G, Vadali M, Sahmel J. Bayesian hierarchical framework for occupational hygiene decision making. The Annals of Occupational Hygiene. 58: 1079-93. PMID 25169203 DOI: 10.1093/Annhyg/Meu060  0.44
2014 Ramachandran G, Huynh T, Banerjee S, Groth C, Stenzel M, Blair A, Engel L, Sandler D, Kwok R, Stewart P. 0304 The NIEHS GuLF STUDY: Estimate of workers’ exposures through the inhalation route on seven response vessels near the well-site during the Deepwater Horizon oil spill Occupational and Environmental Medicine. 71: A105.2-A105. DOI: 10.1136/Oemed-2014-102362.329  0.763
2014 Huynh T, Quick H, Ramachandran G, Banerjee S, Monteiro J, Groth C, Stenzel M, Blair A, Sandler D, Engle L, Kwok R, Stewart P. 0300 The NIEHS GuLF STUDY: A comparison of the β-substitution method and a Bayesian approach for handling highly censored measurement data Occupational and Environmental Medicine. 71: A104.1-A104. DOI: 10.1136/Oemed-2014-102362.325  0.71
2014 Groth C, Banerjee S, Huynh T, Ramachandran G, Stenzel M, Stewart P, Blair A, Engel L, Sandler D, Kwok R. 0296 The NIEHS GuLF STUDY: Correlations of Concentrations Between Various Oil Chemicals and Total Hydrocarbons Occupational and Environmental Medicine. 71: A102.3-A103. DOI: 10.1136/Oemed-2014-102362.321  0.75
2014 Finley AO, Banerjee S, Cook BD. Bayesian hierarchical models for spatially misaligned data in R Methods in Ecology and Evolution. 5: 514-523. DOI: 10.1111/2041-210X.12189  0.365
2014 Finley AO, Banerjee S, Weiskittel AR, Babcock C, Cook BD. Dynamic spatial regression models for space-varying forest stand tables Environmetrics. 25: 596-609. DOI: 10.1002/Env.2322  0.345
2013 Monteiro JVD, Banerjee S, Ramachandran G. Bayesian Modeling for Physical Processes in Industrial Hygiene Using Misaligned Workplace Data. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 56. PMID 32336793 DOI: 10.1080/00401706.2013.836988  0.418
2013 Quick H, Banerjee S, Carlin BP. MODELING TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATA. The Annals of Applied Statistics. 7: 154-176. PMID 29606992 DOI: 10.1214/12-Aoas600  0.393
2013 Ren Q, Banerjee S. Hierarchical factor models for large spatially misaligned data: a low-rank predictive process approach. Biometrics. 69: 19-30. PMID 23379832 DOI: 10.1111/J.1541-0420.2012.01832.X  0.412
2013 Finley AO, Banerjee S, Cook BD, Bradford JB. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets International Journal of Applied Earth Observation and Geoinformation. 22: 147-160. DOI: 10.1016/J.Jag.2012.04.007  0.377
2013 Guhaniyogi R, Finley AO, Banerjee S, Kobe RK. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data Journal of Agricultural, Biological, and Environmental Statistics. 18: 274-298. DOI: 10.1007/S13253-013-0140-3  0.389
2012 Banerjee S, Fuentes M. Bayesian Modeling for Large Spatial Datasets. Wiley Interdisciplinary Reviews. Computational Statistics. 4: 59-66. PMID 23991246 DOI: 10.1002/Wics.187  0.42
2012 Delamater PL, Finley AO, Banerjee S. An analysis of asthma hospitalizations, air pollution, and weather conditions in Los Angeles County, California. The Science of the Total Environment. 425: 110-8. PMID 22475217 DOI: 10.1016/J.Scitotenv.2012.02.015  0.319
2012 Vadali M, Ramachandran G, Mulhausen JR, Banerjee S. Effect of training on exposure judgment accuracy of industrial hygienists. Journal of Occupational and Environmental Hygiene. 9: 242-56. PMID 22463121 DOI: 10.1080/15459624.2012.666470  0.357
2012 Vadali M, Ramachandran G, Banerjee S. Effect of training, education, professional experience, and need for cognition on accuracy of exposure assessment decision-making. The Annals of Occupational Hygiene. 56: 292-304. PMID 22186374 DOI: 10.1093/Annhyg/Mer112  0.369
2012 Banerjee S, Carlin BP, Li P, Mcbean AM. Bayesian areal wombling using false discovery rates Statistics and Its Interface. 5: 149-158. DOI: 10.4310/Sii.2012.V5.N2.A1  0.356
2012 Banerjee S, Dey DK. Editorial for the special issue on spatial statistics Statistical Methodology. 9: 115-116. DOI: 10.1016/J.Stamet.2011.08.003  0.317
2012 Eidsvik J, Finley AO, Banerjee S, Rue H. Approximate Bayesian inference for large spatial datasets using predictive process models Computational Statistics & Data Analysis. 56: 1362-1380. DOI: 10.1016/J.Csda.2011.10.022  0.423
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  0.561
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  0.483
2011 Finley AO, Banerjee S, MacFarlane DW. A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas. Journal of the American Statistical Association. 106: 31-48. PMID 26139950 DOI: 10.1198/Jasa.2011.Ap09653  0.33
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  0.598
2011 Logan PW, Ramachandran G, Mulhausen JR, Banerjee S, Hewett P. Desktop study of occupational exposure judgments: do education and experience influence accuracy? Journal of Occupational and Environmental Hygiene. 8: 746-58. PMID 22091633 DOI: 10.1080/15459624.2011.628607  0.398
2011 Li P, Banerjee S, McBean AM. Mining Boundary Effects in Areally Referenced Spatial Data Using the Bayesian Information Criterion. Geoinformatica. 15: 435-454. PMID 21643463 DOI: 10.1007/S10707-010-0109-0  0.35
2011 Monteiro JVD, Banerjee S, Ramachandran G. B2Z: An R Package for Bayesian Two-Zone Models Journal of Statistical Software. 43: 1-23. DOI: 10.18637/Jss.V043.I02  0.456
2011 Ren Q, Banerjee S, Finley AO, Hodges JS. Variational Bayesian methods for spatial data analysis Computational Statistics and Data Analysis. 55: 3197-3217. DOI: 10.1016/J.Csda.2011.05.021  0.407
2011 Finley AO, Banerjee S, Basso B. Improving Crop Model Inference Through Bayesian Melding With Spatially Varying Parameters Journal of Agricultural, Biological, and Environmental Statistics. 16: 453-474. DOI: 10.1007/S13253-011-0070-X  0.376
2011 Gelfand AE, Banerjee S. Discussion on "Spatial prediction in the presence of positional error" Environmetrics. 22: 128. DOI: 10.1002/Env.1093  0.509
2010 Banerjee S, Finley AO, Waldmann P, Ericsson T. Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials. Journal of the American Statistical Association. 105: 506-521. PMID 20676229 DOI: 10.1198/Jasa.2009.Ap09068  0.389
2010 Ma H, Carlin BP, Banerjee S. Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis. Biometrics. 66: 355-64. PMID 19645704 DOI: 10.1111/J.1541-0420.2009.01291.X  0.309
2009 Zhang Y, Hodges JS, Banerjee S. SMOOTHED ANOVA WITH SPATIAL EFFECTS AS A COMPETITOR TO MCAR IN MULTIVARIATE SPATIAL SMOOTHING. The Annals of Applied Statistics. 3: 1805-1830. PMID 20596299 DOI: 10.1214/09-Aoas267  0.357
2009 Finley AO, Banerjee S, McRoberts RE. HIERARCHICAL SPATIAL MODELS FOR PREDICTING TREE SPECIES ASSEMBLAGES ACROSS LARGE DOMAINS. The Annals of Applied Statistics. 3: 1052-1079. PMID 20352037 DOI: 10.1214/09-Aoas250  0.341
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  0.595
2009 Zhang Y, Banerjee S, Yang R, Lungu C, Ramachandran G. Bayesian modeling of exposure and airflow using two-zone models. The Annals of Occupational Hygiene. 53: 409-24. PMID 19403840 DOI: 10.1093/Annhyg/Mep017  0.438
2009 Liang S, Banerjee S, Carlin BP. Bayesian wombling for spatial point processes. Biometrics. 65: 1243-53. PMID 19302408 DOI: 10.1111/J.1541-0420.2009.01203.X  0.371
2009 Latimer AM, Banerjee S, Sang H, Mosher ES, Silander JA. Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States. Ecology Letters. 12: 144-54. PMID 19143826 DOI: 10.1111/J.1461-0248.2008.01270.X  0.389
2009 Finley AO, Banerjee S, Waldmann P, Ericsson T. Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets. Biometrics. 65: 441-51. PMID 18759829 DOI: 10.1111/J.1541-0420.2008.01115.X  0.39
2009 Cooner FW, Yu X, Banerjee S, Grambsch PL, McBean AM. Hierarchical dynamic time-to-event models for post-treatment preventive care data on breast cancer survivors Statistical Modelling. 9: 119-135. DOI: 10.1177/1471082X0800900202  0.321
2009 LeSage J, Banerjee S, Fischer MM, Congdon P. Spatial statistics: Methods, models & computation Computational Statistics & Data Analysis. 53: 2781-2785. DOI: 10.1016/J.Csda.2008.11.001  0.353
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  0.604
2008 Liang S, Banerjee S, Bushhouse S, Finley A, Carlin BP. Hierarchical Multiresolution Approaches for Dense Point-Level Breast Cancer Treatment Data. Computational Statistics & Data Analysis. 52: 2650-2668. PMID 19158942 DOI: 10.1016/J.Csda.2007.09.011  0.353
2008 Diva U, Dey DK, Banerjee S. Parametric models for spatially correlated survival data for individuals with multiple cancers. Statistics in Medicine. 27: 2127-44. PMID 18167633 DOI: 10.1002/Sim.3141  0.363
2008 Finley AO, Banerjee S, Ek AR, McRoberts RE. Bayesian multivariate process modeling for prediction of forest attributes Journal of Agricultural, Biological, and Environmental Statistics. 13: 60-83. DOI: 10.1198/108571108X273160  0.404
2007 Finley AO, Banerjee S, Carlin BP. spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. Journal of Statistical Software. 19: 1-24. PMID 21494410 DOI: 10.18637/Jss.V019.I04  0.379
2007 Cooner F, Banerjee S, Carlin BP, Sinha D. Flexible Cure Rate Modeling Under Latent Activation Schemes. Journal of the American Statistical Association. 102: 560-572. PMID 21031152 DOI: 10.1198/016214507000000112  0.335
2007 Jin X, Banerjee S, Carlin BP. Order-free co-regionalized areal data models with application to multiple-disease mapping. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 69: 817-838. PMID 20981244 DOI: 10.1111/J.1467-9868.2007.00612.X  0.39
2007 Diva U, Banerjee S, Dey DK. Modelling spatially correlated survival data for individuals with multiple cancers. Statistical Modelling. 7: 191-213. PMID 19789726 DOI: 10.1177/1471082X0700700205  0.375
2007 Banerjee S, Finley A. Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data Journal of Statistical Planning and Inference. 137: 3193-3205. DOI: 10.1016/J.Jspi.2006.05.024  0.39
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  0.597
2007 Finley AO, Banerjee S, McRoberts RE. A Bayesian approach to multi-source forest area estimation Environmental and Ecological Statistics. 15: 241-258. DOI: 10.1007/S10651-007-0049-5  0.322
2007 Lu H, Reilly CS, Banerjee S, Carlin BP. Bayesian areal wombling via adjacency modeling Environmental and Ecological Statistics. 14: 433-452. DOI: 10.1007/S10651-007-0029-9  0.377
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  0.56
2006 Hewett P, Logan P, Mulhausen J, Ramachandran G, Banerjee S. Rating exposure control using Bayesian decision analysis. Journal of Occupational and Environmental Hygiene. 3: 568-81. PMID 16998991 DOI: 10.1080/15459620600914641  0.362
2006 Banerjee S, Johnson GA. Coregionalized single- and multiresolution spatially varying growth curve modeling with application to weed growth. Biometrics. 62: 864-76. PMID 16984330 DOI: 10.1111/J.1541-0420.2006.00535.X  0.348
2006 Cooner F, Banerjee S, McBean AM. Modelling geographically referenced survival data with a cure fraction. Statistical Methods in Medical Research. 15: 307-24. PMID 16886733 DOI: 10.1191/0962280206Sm453Oa  0.368
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  0.684
2005 Jin X, Carlin BP, Banerjee S. Generalized hierarchical multivariate CAR models for areal data. Biometrics. 61: 950-61. PMID 16401268 DOI: 10.1111/J.1541-0420.2005.00359.X  0.404
2005 Banerjee S. On geodetic distance computations in spatial modeling. Biometrics. 61: 617-25. PMID 16011712 DOI: 10.1111/J.1541-0420.2005.00320.X  0.407
2005 Banerjee S, Dey DK. Semiparametric proportional odds models for spatially correlated survival data. Lifetime Data Analysis. 11: 175-91. PMID 15938545 DOI: 10.1007/S10985-004-0382-Z  0.382
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  0.677
2005 Banerjee S, Johnson GA, Schneider N, Durgan BR. Modelling Replicated Weed Growth Data using Spatially-varying Growth Curves Environmental and Ecological Statistics. 12: 357-377. DOI: 10.1007/S10651-005-1519-2  0.327
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  0.607
2004 Banerjee S, Carlin BP. Parametric spatial cure rate models for interval-censored time-to-relapse data. Biometrics. 60: 268-75. PMID 15032798 DOI: 10.1111/J.0006-341X.2004.00032.X  0.364
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  0.591
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  0.601
2003 Banerjee S, Wall MM, Carlin BP. Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota. Biostatistics (Oxford, England). 4: 123-42. PMID 12925334 DOI: 10.1093/Biostatistics/4.1.123  0.346
2003 Ramachandran G, Banerjee S, Vincent JH. Expert judgment and occupational hygiene: application to aerosol speciation in the nickel primary production industry. The Annals of Occupational Hygiene. 47: 461-75. PMID 12890655 DOI: 10.1093/Annhyg/Meg066  0.396
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  0.595
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  0.594
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  0.579
2003 Banerjee S, Carlin BP. Semiparametric spatio-temporal frailty modeling Environmetrics. 14: 523-535. DOI: 10.1002/Env.613  0.317
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  0.539
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