A more up to date list of papers can be found in my cv and is also available at my google scholar profile

Publications

Zhou, S. Pati, D, Bhattacharya, A., Dunson, D.B. (2017). Adaptive posterior convergence rates in non-linear latent variable models. [arXiv]

Shin, M., Bhattacharya, B., Johnson, V.E. (2016). Functional horseshoe priors for subspace shrinkage. [arXiv]

Chakraborty, A., Bhattacharya, B., Mallick, B. (2016). Bayesian sparse multiple regression for simulataneous rank reduction and variable selection. [arXiv]

Bhattacharya, A., Pati, D., Yang, Y. (2016). Bayesian fractioanl posteriors. [arXiv]

Bhattacharya, A. and Hart, Jeffrey, D. (2016). Partitioned Cross-Validation for Divide-and-Conquer Density Estimation. [arXiv]

Geng, J., Bhattacharya, A., Pati, D. (2016). Probabilistic community detection with unknown number of communities. [arXiv]

Johndrow, J.E. and Bhattacharya, A. (2016). Optimal Gaussian approximations to the posterior for log-linear models with Diaconis-Ylvisaker priors. Bayesian Analysis, To Appear[arXiv]

Shin, M., Bhattacharya, A., Johnson, V. (2016). Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-Dimensional Settings. Statistica Sinica, To Appear[arxiv]

Bhattacharya, A., Chakraborty, A. and Mallick, B. (2015). Fast samppling with Gaussian scale mixture priors in high-dimensional regression. Biometrika (To Appear) [arxiv] [Matlab implementation]

Pati, D. and Bhattacharya, A. (2015). Optimal Bayesian estimation in stochastic block models. [arxiv]

Bhattacharya, A. and Pati, D. (2015). Bernstein-von Mises theorems in Wasserstein distance. [arxiv]

Katzfuss, M. and Bhattacharya, A. (2015). Comemnt on Article by Dawid and Musio. Bayesian Analysis. [link]

Pati, D. and Bhattacharya, A. (2015). Adaptive Bayesian estimation in Gaussian sequence model using exponential-variance priors. Statistics and Probability Letters, 103:100-104

Pati, D., Bhattacharya, A. and Cheng, G. (2015). Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. Journal of Machine Learning Reserch, (16):2837-2851. [arxiv]

Johndrow, J.E., Bhattacharya, A. and Dunson, D.B. (2015+). Tensor decompositions and sparse log-linear models, Annals of Statistics, To appear [arxiv]

Zhou, J., Bhattacharya, A., Herring, A., Dunson, D.B. (2015). Bayesian factorizations of big sparse tensors. Journal of the American Statistical Association, In press. [arxiv]

Bhattacharya, A., Pati, D., Pillai, N.S. and Dunson, D.B. (2014). Dirichlet-Laplace priors for optimal shrinkage. Journal of the American Statistical Association, In press. [arxiv]

Pati, D., Bhattacharya, A., Pillai, N.S. and Dunson, D.B. (2014). Posterior contraction in sparse Bayesian factor models for massive covariance matrices, Annals of Statistics 42(3):1102-1130. [arxiv]

Bhattacharya, A., Pati, D. and Dunson, D.B. (2013). Anisotropic function estimation with multi-bandwidth Gaussian processes, Annals of Statistics 42(1):352-381. [arxiv]

Pati, D., Bhattacharya, A. and Dunson, D.B. (2012). Posterior convergence rates in non-linear latent variable models[arxiv]

Bhattacharya, A. and Dunson, D.B. (2012). Simplex factor models for multivariate unordered categorical data, Journal of the American Statistical Association 101: 362-377. [pdf] [link]

Bhattacharya, A. and Dunson, D.B. (2011). Sparse Bayesian infinite factor models, Biometrika 98(2): 291-306. [link] [code]

Dzirasa, K., Mcgrarity, D., Bhattacharya, A. et al. (2011). Impaired limbic gamma oscillatory synchrony during anxiety related"behavior in a genetic mouse model of bipolar mania, Journal of NeuroScience 31(17): 6449-6456. [link]