3 papers
stat.ME2026
Generalized Bayesian Clustering with Regression for Unaligned Longitudinal Binary Data
Khai Nguyen, Elizabeth Juarez-Colunga, Peter Mueller
We propose a generalized Bayesian clustering with regression model for unaligned longitudinal binary outcomes, motivated by seizure diary data from the Human Epilepsy Project. Seiz…
stat.ME2026
Distributional Determinantal Point Process for Repulsive Clustering of Distributions
Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga +1
We introduce the distributional determinantal point process (dDPP) as a novel repulsive point process whose atoms are probability distributions rather than points in a real space.…
stat.ME2026
A Mixed Self-Exciting Process to Model Epileptic Seizures
Karen Kanaster, Giovani L. Silva, Peter Mueller +2
Epilepsy is a neurological disorder characterized by recurrent seizures affecting more than 70 million people worldwide. Often, an individual with epilepsy is more likely to experi…