4 papers
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
Guoxuan Ma, Bangyao Zhao, Hasan Abu-Amara +1
In neuroimaging studies, it becomes increasingly important to study associations between different imaging modalities using image-on-image regression (IIR), which faces challenges…
Bayesian Inference on Brain-Computer Interfaces via GLASS
Bangyao Zhao, Jane E. Huggins, Jian Kang
Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies…
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…
Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System
Bangyao Zhao, Lili Zhao
Vaccine safety is a concerning problem of the public, and many signal detecting methods have been developed to identify relative risks between vaccines and adverse events (AEs). Th…