2 papers
stat.ME2026
Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling
Jake Koerner, Ana-Maria Staicu, Caitrin Murphy +4
In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudin…
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…