3 papers
stat.AP2024
Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning
Guoxuan Ma, Sicong Xie, Lili Zhao +1
The COVID-19 pandemic highlighted the urgent need for effective vaccine policies, but traditional clinical trials often lack sufficient data to capture the diverse population chara…
stat.AP2023
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…
stat.AP2023
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…