Sudipto Banerjee

Banerjee was born in Kolkata, India. He attended Presidency College, Kolkata for his undergraduate studies, and the Indian Statistical Institute, graduating with an M.STAT in 1996. Subsequently, he moved to the United States and obtained an MS and PhD in Statistics from the University of Connecticut in 2000,[1] where he was introduced to Bayesian statistics and hierarchical modeling by Alan Enoch Gelfand[1] who had been instrumental in the development of the Gibbs sampler and Markov chain Monte Carlo algorithms in Bayesian statistics.

Banerjee joined the University of Minnesota, Twin Cities in 2000 as an Assistant Professor of Biostatistics and was associated with the School of Public Health for 14 years. There he worked on a number of problems and wrote numerous articles on spatial statistics, developing theory and methods related to Bayesian modeling and inference for geographic data with wide-ranging applications in public and environmental health sciences, ecology, forestry, real estate economics and agronomy. In 2014, Banerjee joined the Department of Biostatistics in the School of Public Health at UCLA as Professor and Chair of Biostatistics.[2]

Banerjee has received many honors, including the Abdel El-Shaarawi Award from The International Environmetric Society (TIES), the Mortimer Spiegelman Award from the American Public Health Association and the George W. Snedecor Award from the Committee of Presidents of Statistical Societies (COPSS), elected membership of the International Statistical Institute, elected fellowships in the Institute of Mathematical Statistics (IMS), the American Statistical Association (ASA), the International Society for Bayesian Analysis and the American Association for the Advancement of Science (AAAS),[3] a Distinguished Achievement Medal from the ASA's Section on Statistics and the Environment, and the ASA's Outstanding Statistical Application Award.[2]

• Banerjee, Sudipto; Carlin, Bradley P.; Gelfand, Alan E. (2014), Hierarchical Modeling and Analysis for Spatial Data, Second Edition, Monographs on Statistics and Applied Probability (2nd ed.), Chapman and Hall/CRC, ISBN 9781439819173
• Banerjee, Sudipto; Roy, Anindya (2014), Linear Algebra and Matrix Analysis for Statistics, Texts in Statistical Science (1st ed.), Chapman and Hall/CRC, ISBN 978-1420095388
• National Research Council (August 6, 2015). Affordability of National Flood Insurance Program Premiums: Report 1. Washington, D.C.: National Academies Press. doi:10.17226/21709. ISBN 978-0-309-37125-4. OL 29277639M. Wikidata Q106095870.
• Banerjee, S.; Gelfand, A.E. (December 1, 2006). "Bayesian Wombling". Journal of the American Statistical Association. 101 (476): 1487–1501. doi:10.1198/016214506000000041. ISSN 0162-1459. PMC 2835372. PMID 20221318. Wikidata Q24631027.
• Jin, X.; Banerjee, S.; Carlin, B.P. (November 1, 2007). "Order-free co-regionalized areal data models with application to multiple-disease mapping". Journal of the Royal Statistical Society Series B: Statistical Methodology. 69 (5): 817–838. doi:10.1111/J.1467-9868.2007.00612.X. ISSN 1369-7412. PMC 2963450. PMID 20981244. Wikidata Q33730210.
• Banerjee, S.; Gelfand, A.E.; Finley, A.O.; Sang, H. (September 1, 2008). "Gaussian predictive process models for large spatial data sets". Journal of the Royal Statistical Society Series B: Statistical Methodology. 70 (4): 825–848. doi:10.1111/J.1467-9868.2008.00663.X. ISSN 1369-7412. PMC 2741335. PMID 19750209. Wikidata Q33502739.
• Datta, A.; Banerjee, S.; Finley, A.O.; Gelfand, A.E. (August 18, 2016). "Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets". Journal of the American Statistical Association. 111 (514): 800–812. doi:10.1080/01621459.2015.1044091. ISSN 0162-1459. PMC 5927603. PMID 29720777. Wikidata Q55401486.