3 papers
stat.ME2026
Modeling Event Dynamics by Self-Exciting Processes with Random Memory
K. Ken Peng, X. Joan Hu, Tim B. Swartz
Event history data from sports competitions have recently drawn increasing attention in sports analytics to generate data-driven strategies. Such data often exhibit self-excitation…
stat.ME2026
Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
K. Ken Peng, Charmaine B. Dean, Robert Delatolla +2
In the post-pandemic era of COVID-19, hospitalization remains a primary public health concern and wastewater surveillance has become an important tool for monitoring its dynamics a…
stat.ME2024
Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
K. Ken Peng, Charmaine B. Dean, Robert Delatolla +1
Viral signal in wastewater offers a promising opportunity to assess and predict the burden of infectious diseases. That has driven the widespread adoption and development of wastew…