30 citations · 119 across the 39 of their papers we have counts for
4 papers · 1 filter
Bayesian crack detection in ultra high resolution multimodal images of paintings
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein +3
The preservation of our cultural heritage is of paramount importance. Thanks to recent developments in digital acquisition techniques, powerful image analysis algorithms are develo…
Bayesian Compressed Regression
Rajarshi Guhaniyogi, David B. Dunson
As an alternative to variable selection or shrinkage in high dimensional regression, we propose to randomly compress the predictors prior to analysis. This dramatically reduces sto…
Bayesian learning of joint distributions of objects
Anjishnu Banerjee, Jared Murray, David B. Dunson
There is increasing interest in broad application areas in defining flexible joint models for data having a variety of measurement scales, while also allowing data of complex types…
Bayesian Conditional Tensor Factorizations for High-Dimensional Classification
Yun Yang, David B. Dunson
In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classifi…