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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...
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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...
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05/24/2022
Bayesian Functional Principal Components Analysis using Relaxed Mutually Orthogonal Processes
Functional Principal Component Analysis (FPCA) is a prominent tool to ch...
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09/17/2020
Bayesian Matrix Completion for Hypothesis Testing
The United States Environmental Protection Agency (EPA) screens thousand...
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06/09/2020
A generalized Bayes framework for probabilistic clustering
Loss-based clustering methods, such as k-means and its variants, are sta...
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12/27/2019
Bayesian joint modeling of chemical structure and dose response curves
Today there are approximately 85,000 chemicals regulated under the Toxic...
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10/07/2019
Perturbed factor analysis: Improving generalizability across studies
Factor analysis is routinely used for dimensionality reduction. However,...
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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...
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01/29/2019
