Xiaotian Dai
Assistant Professor
Mathematics
Office Phone
Email
- About
- Research
Current Courses
350.001Applied Probability Models
499.003Independent Research For The Master's Thesis
390.002Independent Study
400.001Independent Study
490.002Research In Mathematics, Math Ed & Applied Mathematics
351.002Statistics And Data Analysis
Research Interests & Areas
My research interests are in developing new statistical methods for high-throughput and complex genomic, transcriptomic, and epidemiologic data. I have been broadly interested in Bayesian statistical methods, high-dimensional data variable selection, functional data analysis, and other statistics/biostatistics areas.
Journal Article
Dai, X., Acosta, N., Lu, X., et al (2024). A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater. Statistics in Medicine, 43(6): 1153-1169.
Dai, X., Lu, X., & Chekouo, T. (2023). A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease.
Statistical Methods in Medical Research, 32(8): 1616-1629.
Statistical Methods in Medical Research, 32(8): 1616-1629.