5 papers
Age-Specific Logistic Regression with Complex Event Time Data
Haoxuan, Zhou, X. Joan Hu +2
In attempt to advance the current practice for assessing and predicting the primary ovarian insufficiency (POI) risk in female childhood cancer survivors, we propose two estimating…
Learning about Corner Kicks in Soccer by Analysis of Event Times Using a Frailty Model
Riley L Isaacs, X. Joan Hu, K. Ken Peng +1
Corner kicks are an important event in soccer because they are often the result of strong attacking play and can be of keen interest to sports fans and bettors. Peng, Hu, and Swart…
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…
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…
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…