17 citations · 51 across the 12 of their papers we have counts for
14 papers
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
Bora Jin, Amy H. Herring, David Dunson
In this paper we predict sea surface salinity (SSS) in the Arctic Ocean based on satellite measurements. SSS is a crucial indicator for ongoing changes in the Arctic Ocean and can…
mpower: An R Package for Power Analysis of Exposure Mixture Studies via Monte Carlo Simulations
Phuc H. Nguyen, Stephanie M. Engel, Amy H. Herring
Estimating sample size and statistical power is an essential part of a good study design. This R package allows users to conduct power analysis based on Monte Carlo simulations in…
Bayesian modeling of nearly mutually orthogonal processes
James Matuk, Amy H. Herring, David B. Dunson
Functional factor analysis is an important dimension reduction method for functional and longitudinal data. Factor loadings give insight into patterns of variability of the observa…
Bayesian Matrix Completion for Hypothesis Testing
Bora Jin, David B. Dunson, Julia E. Rager +3
We aim to infer bioactivity of each chemical by assay endpoint combination, addressing sparsity of toxicology data. We propose a Bayesian hierarchical framework which borrows infor…
Supervised Robust Profile Clustering
Briana Stephenson, Amy Herring, Andrew Olshan
In many studies, dimension reduction methods are used to profile participant characteristics. For example, nutrition epidemiologists often use latent class models to characterize d…
A generalized Bayes framework for probabilistic clustering
Tommaso Rigon, Amy H. Herring, David B. Dunson
Loss-based clustering methods, such as k-means and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated…