4 papers
A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial
Tianyu Pan, Yiyao Shi, Xiang Zhang +2
Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. Although an…
Repulsive Mixture Model with Projection Determinantal Point Process
Ziyi Song, Federico Camerlenghi, Weining Shen +2
In many scientific domains, clustering aims to reveal interpretable latent structure that reflects relevant subpopulations or processes. Widely used Bayesian mixture models for mod…
Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
Minhao Qi, Hengrui Cai, Guanyu Hu +1
In sports analytics, home field advantage is a robust phenomenon where the home team wins more games than the away team. However, discovering the causal factors behind home field a…
From Images to Detection: Machine Learning for Blood Pattern Classification
Yilin Li, Weining Shen
Bloodstain Pattern Analysis (BPA) helps us understand how bloodstains form, with a focus on their size, shape, and distribution. This aids in crime scene reconstruction and provide…