A more up to date list of papers is 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]