3 papers
stat.ME2026
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…
stat.AP2026
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…
stat.ME2024
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…