Bhattacharya, Anirban individual record
Associate Professor

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
selected publications
Academic Articles14
  • Johndrow, J. E., Bhattacharya, A., & Dunson, D. B. (2017). Tensor decompositions and sparse log-linear models. Annals of Statistics. 45(1), 1-38.
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  • 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.
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  • Bhattacharya, A., Chakraborty, A., & Mallick, B. K. (2016). Fast sampling with Gaussian scale-mixture priors in high-dimensional regression.. BIOMETRIKA. 103(4), 985-991.
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  • Pati, D., Bhattacharya, A., & Cheng, G. (2015). Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior. Journal of Machine Learning Research. 16, 2837-2851.
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  • Zhou, J., Bhattacharya, A., Herring, A. H., & Dunson, D. B. (2015). Bayesian Factorizations of Big Sparse Tensors. Journal of the American Statistical Association. 110(512), 1562-1576.
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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. 2011 IEEE Workshop on Applications of Computer Vision (WACV). 1-6.
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chaired theses and dissertations
First Name
Last Name
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143