Scholars

Professor

Positions:

Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES), Division of Research
Professor, Statistics, College of Arts and Sciences

overview

Bayesian nonparametrics, contingency tables, covariance estimation, factor models, Gaussian process regression, high-dimensional data, network data, shrinkage priors, tensor decompositions, variable selection

education and training

Ph.D. in Statistics, Duke University - (Durham, North Carolina, United States) 2012
M.S. in Statistics, Indian Statistical Institute - (Kolkata, India) 2008
B.S. in Statistics, Indian Statistical Institute - (Kolkata, India) 2006

selected publications

Academic Articles15

Ray, P., Pati, D., & Bhattacharya, A. (2020). Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Statistics and Computing. 30(4), 839-853.
Johndrow, J. E., Bhattacharya, A., & Dunson, D. B. (2017). TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS.. 45(1), 1-38.
Bhattacharya, A., Chakraborty, A., & Mallick, B. K. (2016). Fast sampling with Gaussian scale-mixture priors in high-dimensional regression.. Biometrika. 103(4), 985-991.
Zhou, J., Herring, A. H., Bhattacharya, A., Olshan, A. F., Dunson, D. B., & National Birth Defects Prevention Study (2016). Nonparametric Bayes modeling for case control studies with many predictors.. Biometrics. 72(1), 184-192.
Bhattacharya, A., Dunson, D. B., Pati, D., & Pillai, N. S. (2016). Sub-optimality of some continuous shrinkage priors. Stochastic Processes and their Applications. 126(12), 3828-3842.

Conference Papers1

Chowdhury, A. S., Bhattacharya, A., Bhandarkar, S. M., Datta, G. S., Yu, J. C., & Figueroa, R. (2007). Hairline Fracture Detection using MRF and Gibbs Sampling. Proceedings / IEEE Workshop on Applications of Computer Vision. IEEE Workshop on Applications of Computer Vision, 2007 IEEE Workshop on Applications of Computer Vision (WAC V '07). 1-6.