8 citations · 16 across the 4 of their papers we have counts for
5 papers
A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
Wenlong Gong, Brian J. Reich, Joseph Guinness
Ambient air pollution measurements from regulatory monitoring networks are routinely used to support epidemiologic studies and environmental policy decision making. However, regula…
Mediation analysis of community context effects on heart failure using the survival R2D2 prior
Brandon R. Feng, Eric Yanchenko, K. Lloyd Hill +3
Congestive heart failure (CHF) is a leading cause of morbidity, mortality and healthcare costs, impacting 23 million individuals worldwide. Large electronic health records data…
Functional Principal Component Analysis for Sparse Censored Data
Caitrin Murphy, Eric Laber, Rhonda Merwin +2
Functional principal component analysis (FPCA) is a key tool in the study of functional data, driving both exploratory analyses and feature construction for use in formal modeling…
Modelling wildland fire burn severity in California using a spatial Super Learner approach
Nicholas Simafranca, Bryant Willoughby, Erin O'Neil +5
Given the increasing prevalence of wildland fires in the Western US, there is a critical need to develop tools to understand and accurately predict burn severity. We develop a mach…
Geostatistical Modeling of Positive Definite Matrices: An Application to Diffusion Tensor Imaging
Zhou Lan, Brian J. Reich, Joseph Guinness +3
Geostatistical modeling for continuous point-referenced data has been extensively applied to neuroimaging because it produces efficient and valid statistical inference. However, di…