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 statistical modelling and analysis of geographically referenced datasets, Bayesian statistics (theory and methods) and statistical computing.
Courses
- PubH 7440 - Intro to Bayes (Spring 2008).
- PubH 8432 - Probability Models for Biostatistics (Fall 2005).
Short Courses
- ISBA 2004 - Slides from the short course on Spatial Statistics taught in ISBA 2004 meeting in Chile.
- Duke Summer Course 2006 - Slides from the summer institute short course at Duke, June 2006.
- Applied Bayesian Statistics School: ABS 2006 - resources from the five day short course in Bertirono, Italy. To
visit the Applied Bayesian Statistics School home-page click HERE.
- 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 to be taught at Macquarie University, July 28-29th, 2008, in Sydney, Australia.
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!!!.
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., Waldmann, P. and Ericsonn, T. (2008). Hierarchical spatial modelling of additive and dominance genetic variance for large spatial trial datasets. Biometrics (in press).
- 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 (in press).
- Finley, A.O., Banerjee, S., Ek, A.R. and McRoberts, R. (2008). Bayesian multivariate process modeling for predicting forest attributes. Journal of Agricultural, Biological and Environmental Statistics, 13, 1-24.
- 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.
- Jin, X., Carlin B.P., and Banerjee, S. (2005). Generalized hierarchical multivariate CAR models for areal data. Biometrics, 61, 950-961.
- Banerjee, S., Wall, M. and Carlin, B.P. (2003). "Frailty Modelling for Spatially Correlated Survival Data with Application to Infant Mortality in Minnesota". Biostatistics, 4:123-142.
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