Hierarchical Modeling and Analysis for Spatial Data
2003 · 1,705 citations
https://doi.org/10.1201/9780203487808
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Sudipto Banerjee
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Sudipto Banerjee is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Soil Geostatistics and Mapping & Spatial and Panel Data Analysis & Statistical Methods and Bayesian Inference. The author has an h-index of 50, co-authored 341 publications.
ORCID: 0000-0002-2239-208XPapers by this author
worksHierarchical Modeling and Analysis for Spatial Data
2003 · 1,705 citations
https://doi.org/10.1201/9780203487808
Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
2016 · The Annals of Applied Statistics · 118 citations
https://doi.org/10.1214/16-aoas931
Development of a total hydrocarbon ordinal job-exposure matrix for workers responding to the Deepwater Horizon disaster: The GuLF STUDY
2017 · Journal of Exposure Science & Environmental Epidemiology · 36 citations
https://doi.org/10.1038/jes.2017.16
Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the Deepwater Horizon Oil Spill
2016 · Annals of Work Exposures and Health · 31 citations
https://doi.org/10.1093/annweh/wxw003
Co-kriging with a low-cost sensor network to estimate spatial variation of brake and tire-wear metals and oxidative stress potential in Southern California
2022 · Environment International · 21 citations
https://doi.org/10.1016/j.envint.2022.107481
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