Sudipto Banerjee

Associate Professor

Division of Biostatistics

Sudipto received a Ph.D. (2000) and an M.S. (1998) in Statistics from the Department of Statistics at the University of Connecticut. There he worked on multivariate spatial modelling and inference of data from spatial processes in a Bayesian setup. His current interest include analysis of data arising from spatial processes, Bayesian interpolation and prediction (kriging) methods and smoothness of spatial processes. Sudipto is also interested in the application of Bayesian methodology to Biostatistical applications. In particular, he is working on spatial frailty models in Survival analysis and also multivariate CAR models in disease mapping and survival analysis. He is collaborating with researchers in Epidemiology, Environmental and Occupational Health and with Plant geneticists in designing and analysing studies in such fields. Sudipto's recent research is being directed towards "Bayesian Wombling" methods, that develop methods for statistical estimation of stochastic gradients using spatial process models. Sudipto is also interested in developing statistical software for performing Bayesian computations.

Courses

PubH 7440-Intro to Bayes (Spring 2008).
PubH 8432- Probability Models for Biostatistics (Fall 2005).
ISBA 2004- Slides from the short course on Spatial Statistics taught in ISBA 2004 meeting in Chile.
Duke Summer Institute 2006 - Slides from the computer lab segment of the short course for the Duke Summer Institute, June 2006.
Duke Summer Course 2008 - Slides from the summer short course at Duke, June 2008.

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.

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!!!.

R-package repository

mirror

here

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

Research

Research manuscripts

Selected research papers (For complete list see list above). Some link directly to on-line access, provided you have electronic subscription of the journal.

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 (to appear).
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 (to appear).
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. (2004). On Geodetic Distance Computations in Spatial Modelling. Biometrics, 61, 617-625.
Banerjee, S (2004). Revisiting spherical trigonometry with orthogonal projectors. The Mathematical Association of America's College Mathematics Journal. 35, 375-381.
Banerjee, S. and Carlin, B.P. (2004). Parametric Spatial Cure Rate Models for Interval-Censored Time-to-Relapse Data. Biometrics 60, 268-275.
Banerjee, S., Gelfand, A.E. and Sirmans, C.F (2003). Directional Rates of Change Under Spatial Process Models. Journal of the American Statistical Association, 98:946-954.
Banerjee, S. and Carlin, B.P. (2003). "Semiparametric Spatiotemporal Frailty Modelling". Environmetrics, 14:523-535.
Banerjee, S. and Gelfand, A.E. (2003) "On Smoothness Properties of Spatial Processes". Journal of Multivariate Analysis, 84:85-100.
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.
Banerjee, S., Gelfand, A.E. and Polasek, W. (2000)."Geostatistical Modelling of Spatial Interaction Data with Application to Postal Service Performance". Journal of Statistical Planning and Inference, 90:87-105.

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