Grant support

• Office of Naval Research, 2014-2017, PI
• NSF DMS-1613156, 2016-2019, PI

Publications

• 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 Errors.
  [link]
• 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]