| Year |
Citation |
Score |
| 2024 |
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. Correction: 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 39251873 DOI: 10.1038/s41370-024-00719-1 |
0.716 |
|
| 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 |
0.733 |
|
| 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 |
0.73 |
|
| 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 |
0.742 |
|
| 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 |
0.713 |
|
| 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 |
0.711 |
|
| 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 |
0.754 |
|
| 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 |
0.761 |
|
| 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 |
0.717 |
|
| 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 |
0.725 |
|
| 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 |
0.751 |
|
| 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 |
0.687 |
|
| 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 |
0.741 |
|
| 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 |
0.738 |
|
| 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 |
0.744 |
|
| 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 |
0.744 |
|
| 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 |
0.749 |
|
| 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 |
0.739 |
|
| 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 |
0.743 |
|
| 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 |
0.41 |
|
| 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 |
0.372 |
|
| 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 |
0.362 |
|
| 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 |
0.309 |
|
| 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 |
0.301 |
|
| 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 |
0.389 |
|
| 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 |
0.764 |
|
| 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 |
0.519 |
|
| 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 |
0.366 |
|
| 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 |
0.301 |
|
| 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 |
0.523 |
|
| 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 |
0.747 |
|
| 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 |
0.783 |
|
| 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 |
0.354 |
|
| 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 |
0.593 |
|
| 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 |
0.412 |
|
| 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 |
0.338 |
|
| 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 |
0.352 |
|
| 2015 |
Quick H, Banerjee S, Carlin BP. Bayesian modeling and analysis for gradients in spatiotemporal processes. Biometrics. PMID 25898989 DOI: 10.1111/Biom.12305 |
0.422 |
|
| 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 |
0.722 |
|
| 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 |
0.766 |
|
| 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 |
0.393 |
|
| 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 |
0.436 |
|
| 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 |
0.759 |
|
| 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 |
0.705 |
|
| 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 |
0.747 |
|
| 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 |
0.364 |
|
| 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 |
0.344 |
|
| 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 |
0.416 |
|
| 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 |
0.376 |
|
| 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 |
0.318 |
|
| 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 |
0.355 |
|
| 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 |
0.366 |
|
| 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 |
0.354 |
|
| 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 |
0.318 |
|
| 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 |
0.422 |
|
| 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 |
0.559 |
|
| 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 |
Gelfand AE, Kim HJ, Sirmans CF, Banerjee S. Spatial Modeling With Spatially Varying Coefficient Processes. Journal of the American Statistical Association. 98: 387-396. PMID 39421645 DOI: 10.1198/016214503000170 |
0.688 |
|
| 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 |
0.597 |
|
| 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 |
0.394 |
|
| 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 |
0.452 |
|
| 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 |
0.406 |
|
| 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 |
0.51 |
|
| 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 |
0.388 |
|
| 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 |
0.307 |
|
| 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 |
0.34 |
|
| 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 |
0.435 |
|
| 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 |
0.389 |
|
| 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 |
0.32 |
|
| 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 |
0.403 |
|
| 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 |
0.378 |
|
| 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 |
0.334 |
|
| 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 |
0.389 |
|
| 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 |
0.32 |
|
| 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 |
0.376 |
|
| 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 |
0.359 |
|
| 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 |
0.403 |
|
| 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 |
0.406 |
|
| 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 |
0.381 |
|
| 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 |
0.362 |
|
| 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 |
0.6 |
|
| 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 |
0.393 |
|
| 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 |
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 |
0.316 |
|
| 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 |
0.54 |
|
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