168 citations · 768 across the 62 of their papers we have counts for
3 papers · 1 filter
Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior
Yan Dora Zhang, Brian P. Naughton, Howard D. Bondell +1
Prior distributions for high-dimensional linear regression require specifying a joint distribution for the unobserved regression coefficients, which is inherently difficult. We ins…
Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
Jian Kang, Brian J. Reich, Ana-Maria Staicu
The focus of this work is on spatial variable selection for scalar-on-image regression. We propose a new class of Bayesian nonparametric models, soft-thresholded Gaussian processes…
Modeling Multivariate Mixed-Response Functional Data
Beth A. Tidemann-Miller, Brian J. Reich, Ana-Maria Staicu
We propose a Bayesian modeling framework for jointly analyzing multiple functional responses of different types (e.g. binary and continuous data). Our approach is based on a multiv…