2 papers
stat.ME2025
SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies
Yuan Zhong, Gang Chen, Paul A. Taylor +1
Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional ma…
stat.ME2022
Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology
Bangyao Zhao, Yuan Zhong, Jian Kang +1
While vaccines are crucial to end the COVID-19 pandemic, public confidence in vaccine safety has always been vulnerable. Many statistical methods have been applied to VAERS (Vaccin…