معرفی
Yu-Bo Wang is an Associate Professor in the Department of Mathematical and Statistical Sciences at Clemson University. His research focuses on Bayesian computation, causal inference, and statistical methodologies with applications in health sciences and ecology. He holds a PhD in Statistics from the University of Connecticut (2016), and MS and BS degrees in Statistics from National Chengchi University, Taiwan (2009 and 2006).
Education:
- PhD, Statistics, University of Connecticut, 2016
- MS, Statistics, National Chengchi University, Taiwan, 2009
- BS, Statistics, National Chengchi University, Taiwan, 2006
Research Interests:
His work spans Bayesian computation, Monte Carlo methods, causal inference, and applications in mortality projection. Notable contributions include advancements in marginal likelihood estimation, mediation analysis, and high-dimensional regression techniques.
Publications:
Recent work includes studies on Bayesian regularized mediation analysis in health outcomes, statistical methods for causal inference in clustered data, and computational innovations in phylogenetics and ecology. His research bridges theoretical statistics with practical applications in dentistry, environmental science, and public health.
Awards: No specific awards listed, but his prolific publication record reflects sustained academic excellence.
Advising & Grants: Advises graduate students in statistical methodology and collaborates on grants related to Bayesian computation and health data analysis. No specific grant details provided in the text.
Labs/Teams: Engages in interdisciplinary teams within Clemson’s College of Science, though specific lab affiliations are not detailed here.
