Sudipto Banerjee

Professor

Division of Biostatistics

Educational History

• B.S. (Honours) Presidency College, Calcutta, India, 1994.
• M.STAT. Indian Statistical Institute, Calcutta, India, 1996.
• Ph.D. Statistics, University of Connecticut, Storrs, Connecticut, USA, 2000.

Research Interests

• Statistical modeling and analysis of geographically referenced datasets.
• Bayesian statistics (theory and methods) and hierarchical modelling.
• Statistical computing and related software development.

Honors and awards

• 2005, Inductee: Pi Chapter of Delta Omega National Honor Society.
• 2009, Abdel El Sharaawi Young Researcher Award from The International Environmetrics Society.
• 2010, Elected member, International Statistical Institute.
• 2011, Mortimer Spiegelman Award from the Statistics Section of the American Public Health Association.

Teaching

• PubH 8442 - Bayesian Decision Theory and Data Analysis (Spring 2011)

Selected list of recent short courses

• Hierarchical Modeling and Analysis of Spatial-Temporal Data: Emphasis in Forestry, Ecology, and Environmental Sciences Slides from the short course for ENAR 2009 - Sunday, March 15th, 2009. This was co-taught with Professor Andrew Finley
• Two day short course on Bayesian data analysis with emphasis on spatially correlated data Slides from a short course at CDC, Atlanta.

Book

• Hierarchical Modeling and Analysis for Spatial Data, co-authored with Brad Carlin and Alan Gelfand. It was published by CRC Press/Chapman and Hall in 2004. Details about the book, including software for solving several homework problems can be accessed via my colleague Brad Carlin's web-page.

Software

• spBayes IS HERE!!!. This software is maintained by Andrew Finley at Michigan State University. spBayes is an R package that promises to perform Bayesian hierarchical modelling for spatial data sets. It is hosted on the R-package repository (or your favourite mirror) as a contributed extension package. Installing spBayes is similar to installing any other R-package and instructions for Windows and Linux can be found here.

• Here is the software page with other C++, Java, R and BUGS programs

Research

• List of publications.

Selected publications

• Finley, A.O., Banerjee, S. and MacFarlane, D.W. (2011). A hierarchical model for predicting forest variables over large heterogeneous domains. Journal of the American Statistical Association 106, 31-48. pdf.
• Banerjee, S., Finley, A.O., Waldmann, P. and Ericcson, T. (2010). Hierarchical spatial process models for multiple traits in large genetic trials. Journal of the American Statistical Association, 105, 506-521. pdf.
• Ma, H., Carlin, B.P. and Banerjee, S. (2010). Hierarchical joint site-edge methods for medicare hospice service region boundary analysis. Biometrics, 66, 355-364. pdf.
• Zhang, Y., Hodges, J.S. and Banerjee, S. (2009). Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing. Annals of Applied Statistics 3, 1805-1830. pdf. Supplementary File.
• Finley, A.O., Banerjee, S. and McRoberts, R.E. (2009). Hierarchical spatial models for predicting tree species assemblages across large domains. Annals of Applied Statistics, 3, 1052-1079. pdf. Supplementary File.
• Zhang, Y., Banerjee, S., Yang, R., Lungu, C. and Ramachandran, G. (2009). Bayesian modelling of air flow and exposure using two-zone models. Annals of Occupational Hygiene 53, 409-424. pdf.
• Banerjee, S., Gelfand, A.E., Finley, A.O. and Sang, H. (2008). Gaussian predictive process models for large spatial datasets. Journal of the Royal Statistical Society Series B, 70, 825--848. pdf.
• Jin, X., Banerjee, S. and Carlin, B.P. (2007). Order-free coregionalized lattice models with application to multiple disease mapping. Journal of the Royal Statistical Society Series B, 69, 817-838. pdf.
• Cooner, F., Banerjee, S., Carlin, B.P. and Sinha, D. (2007). Flexible cure rate modelling under latent activation schemes. Journal of the American Statistical Association, 102, 560-572. pdf.
• Banerjee, S. and Gelfand, A.E. (2006). Bayesian Wombling: Curvilinear gradient assessment under spatial process models. Journal of the American Statistical Association 101, 1487--1501. pdf.

Sudipto Banerjee
email: baner009@umn.edu
phone: 612.624.0624; fax: 612.626.0660
postal address:
School of Public Health
A460 Mayo Building, MMC 303
420 Delaware Street S.E.
Minneapolis MN 55455