research
∙
10/08/2022
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
In this paper, we predict sea surface salinity (SSS) in the Arctic Ocean...
share
research
∙
09/16/2022
mpower: An R Package for Power Analysis via Simulation for Correlated Data
Estimating sample size and statistical power is an essential part of a g...
research
∙
05/24/2022
Bayesian Functional Principal Components Analysis using Relaxed Mutually Orthogonal Processes
Functional Principal Component Analysis (FPCA) is a prominent tool to ch...
research
∙
09/17/2020
Bayesian Matrix Completion for Hypothesis Testing
The United States Environmental Protection Agency (EPA) screens thousand...
research
∙
06/09/2020
A generalized Bayes framework for probabilistic clustering
Loss-based clustering methods, such as k-means and its variants, are sta...
research
∙
12/27/2019
Bayesian joint modeling of chemical structure and dose response curves
Today there are approximately 85,000 chemicals regulated under the Toxic...
research
∙
10/07/2019
Perturbed factor analysis: Improving generalizability across studies
Factor analysis is routinely used for dimensionality reduction. However,...
research
∙
08/20/2019
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
In low-resource settings where vital registration of death is not routin...
research
∙
01/29/2019