Pati, D., Reich, B.J., Dunson, D.B. (2011). Biometrika, 98 (1): 35-48.
Bayesian geostatistical modeling with informative sampling locations. [link]
Pati, D., Dunson, D.B., Tokdar, S.T. (2013). Journal of Multivariate Analysis, 116: 456-472.
Posterior consistency in conditional distribution estimation. [link]
Pati, D., & Dunson, D.B. (2014). Annals of the Institute for Statistical Mathematics, 66 (1): 1-31.
Bayesian nonparametric regression with varying residual density. [link]
Bhattacharya, A., Pati, D., & Dunson, D.B. (2014). Annals of Statistics, 32 (1): 352-381.
Anisotropic function estimation with multi-bandwidth Gaussian process. [link]
Pati, D., Bhattacharya, A., Pillai, N.S. & Dunson, D.B. (2014). Annals of Statistics, 42 (3): 1102-1130.
Posterior contraction in sparse Bayesian factor models for massive covariance matrices. [link]
Sarkar, A., Mallick, B.K., Staudenmayer, J., Pati, D. & Carroll, R.J. (2014)
Journal of Computational and Graphical Statistics , 24 (3): 1101-1125. Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement
Cervone, D., Pillai, N.S., Pati, D., Berbecko, R., & Lewis, J.H. (2014).
Annals of Applied Statistics, 8 (3): 1341-1371.
A location-mixture autoregressive model for online forecasting of lung-tumor motion. [link]
Gu, K., Pati, D. & Dunson, D.B. (2014).
Journal of the American Statistical Association, 109 (508): 1481-1494.
Bayesian Multiscale Modeling of Closed Curves in Point Clouds. [link]
Bhattacharya, A., Pati, D., Pillai, N.S. & Dunson, D.B. (2015).
Journal of the American Statistical Association, 110 (512): 1479-1489.
Dirichlet Laplace priors for optimal shrinkage. [link]
Tang, Y., Sinha, D., Pati, D., Lipsitz, S. & Lipshultz, S. (2015).
Biostatistics, 16 (3): 441-453.
Bayesian Partial Linear Model for Skewed Longitudinal Data. [link]
Zhang, Z., Pati, D. & Srivastava, A. (2015).
Journal of Statistical Planning and Inference, 166: 171-186.
Bayesian Clustering of Shapes of Curves. [link]
Pati, D. & Bhattacharya, A. (2015).
Statistics and Probability Letters, 103: 100-104.
Adaptive Bayesian inference in the Gaussian sequence model using exponential-variance priors. [link]
Pati, D., Bhattacharya, A. & Cheng G. (2015).
Journal of Machine Learning Research, 16: 2837-2851.
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. [link]
Bhattacharya, A., Pati, D., Pillai, N.S. & Dunson, D.B. (2016+).
Stochastic Processes and their Applications, to appear.
Sub-optimality of some continuous shrinkage priors. [link]
Norets, A. & Pati, D. (2016+).
Econometric Theory, to appear.
Adaptive Bayesian estimation of conditional densities. [link]
Hanning, L. & Pati, D. (2016+).
Computational Statistics & Data Analysis, to appear.
Variable selection using shrinkage priors. [link]
Sarkar, A., Pati, D., Chakrabarty, A., Mallick, B., Carroll, R.J. (2016+).
Journal of the American Statistical Association, to appear.
Bayesian semiparametric multivariate density deconvolution. [link]
Bayesian fitting of closed surfaces through tensor products.
Debdeep Pati, David B. Dunson. Journal of Machine Learning Research, accepted pending minor revisions. [link]