Division of Biostatistics
- 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.
- 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.
- PubH 8442 - Bayesian Decision Theory and Data Analysis (Spring 2011)
Selected list of recent short courses
- 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.
- 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.
phone: 612.624.0624; fax: 612.626.0660
School of Public Health
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