Sudipto Banerjee
Associate Professor
Division of Biostatistics
I received a Ph.D. (2000) and an M.S. (1998) in Statistics from the Department of Statistics at the University of Connecticut, an M.STAT from the Indian Statistical Institute Calcutta (wiki) and a B.Sc. (Honours) from Presidency College, Calcutta (wiki). My research interests focus on statistical modelling and analysis of geographically referenced datasets, Bayesian statistics (theory and methods), interface between statistics and Geographical Information Systems, and statistical computing.
Courses
- PubH 8472 - Spatial Biostatistics (Fall 2009)
Recent Short Courses
- Duke Summer Course 2008 - Slides from the summer short course at Duke, June 2008.
- ISBA 2008 Slides from the summer short course to be taught at ISBA, July 20-21st, 2008 in Hamilton Island, Australia. To visit the short course home-page click HERE.
- Macquarie University Short Course 2008 Slides from a short course taught at Macquarie University, July 28-29th, 2008, in Sydney, Australia.
- 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
- Hierarchical Modeling for Spatially-referenced Data with Applications to Environmental Sciences and Public Health Slides from the short course for the New England Symposium 2009 - April 24th, 2009.
- Bayesian methods for spatial data analysis Slides from a segment of spatial summer school organized at SAMSI: July 28th, 2009 - August 1st, 2009.
- Multivariate Areal Models SAMSI - October 6th, 2009.
Books
- I have coauthored a textbook on spatial statistics Hierarchical Modeling and Analysis for Spatial Data, 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.
- A missing acknowledgement: We would like to thank the United States Geological Survey (USGS) for allowing us to use pictures and information concerning the UTM projections (pages 15--16, Chapter 1). The acknowledgement was inadvertently overlooked. We sincerely apologize for this and will rectify this in the reprint.
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.
Research
Selected research papers (For complete list see list above). Some link directly to on-line access, provided you have electronic subscription of the journal.
- 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 (in press). Supplementary File.
- 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 (in press). 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.
- Finley, A.O., Banerjee, S., Waldmann, P. and Ericsonn, T. (2009). Hierarchical spatial modelling of additive and dominance genetic variance for large spatial trial datasets. Biometrics, 61, 441--451.
- 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.
- 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.
- 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.
- Banerjee, S. and Johnson, G.A. (2006). Coregionalized Single- and Multi-Resolution Spatially-Varying Growth Curve Modelling with Application to Weed Growth. Biometrics, 61, 617-625.
- Banerjee, S. and Gelfand, A.E. (2006). Bayesian Wombling: Curvilinear Gradients Assessment Under Spatial Process Models. Journal of the American Statistical Association 101, 1487--1501.
Sudipto Banerjee
email:
sudiptob@biostat.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