3 papers
stat.ML2024
Interpretable Clustering with the Distinguishability Criterion
Ali Turfah, Xiaoquan Wen
Cluster analysis is a popular unsupervised learning tool used in many disciplines to identify heterogeneous sub-populations within a sample. However, validating cluster analysis re…
stat.ME2023
Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines
Ali Turfah, Xiaoquan Wen, Lili Zhao
The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has played a key role in assessing the safety of COVID-19 va…
stat.ME2014
Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing
Xiaoquan Wen
We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed e…