3 papers
math.ST2026
Anytime-Valid Tests for Sparse Anomalies
Muriel F. Pérez-Ortiz, Rui M. Castro, Ivo V. Stoepker
We consider the problem of testing sequentially for the presence of sparse anomalies among a large number of data streams. To this end, we design and analyze Anytime-Valid (AV) tes…
stat.ME2025
Efficient Sampling in Disease Surveillance through Subpopulations: Sampling Canaries in the Coal Mine
Ivo V. Stoepker
We consider outbreak detection settings of endemic diseases where the population under study consists of various subpopulations available for stratified surveillance. These subpopu…
stat.ME2025
Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach
Ivo V. Stoepker, Rui M. Castro, Ery Arias-Castro
Detecting anomalies in large sets of observations is crucial in various applications, such as epidemiological studies, gene expression studies, and systems monitoring. We consider…