3 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.ME2024
A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
Alvin Sheng, Brian J. Reich, Ana-Maria Staicu +3
Recent advances in multiplex imaging have enabled researchers to locate different types of cells within a tissue sample. This is especially relevant for tumor immunology, as clinic…
stat.ME2024
Supervised low-rank approximation of high-dimensional multivariate functional data via tensor decomposition
Mohammad Samsul Alam, Ana-Maria Staicu, Pixu Shi
Motivated by the challenges of analyzing high-dimensional () sequencing data from longitudinal microbiome studies, where samples are collected at multiple time points from…