research
∙
02/20/2022
On the usefulness of lattice approximations for fractional Gaussian fields
Fractional Gaussian fields provide a rich class of spatial models and ha...
share
research
∙
11/09/2021
Exploratory Factor Analysis of Data on a Sphere
Data on high-dimensional spheres arise frequently in many disciplines ei...
research
∙
07/21/2021
Bayesian iterative screening in ultra-high dimensional settings
Variable selection in ultra-high dimensional linear regression is often ...
research
∙
03/02/2021
Model-based Personalized Synthetic MR Imaging
Synthetic Magnetic Resonance (MR) imaging predicts images at new design ...
research
∙
06/13/2020
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
We develop a Bayesian variable selection method, called SVEN, based on a...
research
∙
07/27/2019
A Matrix–free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data
This paper proposes a novel profile likelihood method for estimating the...
research
∙
07/26/2019