68 citations · 319 across the 71 of their papers we have counts for
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Bayesian shrinkage
Anirban Bhattacharya, Debdeep Pati, Natesh S. Pillai +1
Penalized regression methods, such as regularization, are routinely used in high-dimensional applications, and there is a rich literature on optimality properties under spars…
Posterior contraction in sparse Bayesian factor models for massive covariance matrices
Debdeep Pati, Anirban Bhattacharya, Natesh S. Pillai +1
Sparse Bayesian factor models are routinely implemented for parsimonious dependence modeling and dimensionality reduction in high-dimensional applications. We provide theoretical u…
Bayesian hierarchical modeling of simply connected 2D shapes
Kelvin Gu, Debdeep Pati, David B. Dunson
Models for distributions of shapes contained within images can be widely used in biomedical applications ranging from tumor tracking for targeted radiation therapy to classifying c…