Profile
Yu-Bo Wang
Mathematical and Statistical Sciences
Assistant Professor
864-656-2617
Martin Hall O120 [Office]
Educational Background
PhD, Statistics, University of Connecticut, 2016
MS, Statistics, National Chengchi University, Taiwan, 2009
BS, Statistics, National Chengchi University, Taiwan, 2006
Research Interests
Bayesian Computation and Monte Carlo Methodology; Causal Inference and Mediation Analysis; Model and Variable Selection; Mortality Projection
Selected Publications
1. Wang, Y.-B., Milkey, A., Li, A., Chen, M.-H., Kuo, L., Lewis, P.O. (2023). LoRaD: marginal likelihood estimation with haste (but no waste). Systematic Biology. https://doi.org/10.1093/sysbio/syad007
2. Chuang, P.-N., Kim, T., Wang, Y.-B., Fiorellini, J., Chang, Y.-C. (2022). Laser-Assisted Minimally Invasive Non-surgical Therapy in Treating Severe Periodontal Compromised Teeth – A Case Series. International Journal of Periodontics & Restorative Dentistry. (In press)
3. He, L., Wang, Y.-B., Bridges, W.C., and He, Z. (2022). Bayesian Framework for Causal Inference with Principal Stratification and Clusters. Statistics in Biosciences. https://doi.org/10.1007/s12561-022-09351-9
4. Wang, Y.-B., Zhang, C., and Chen, Z. (2021). Intergenerational Associations between Maternal Diet and Childhood Adiposity: A Bayesian Regularized Mediation Analysis. Statistics in Biosciences, 13: 524–542.
5. Wang, Y.-B., Chen, Z., Goldstein, J.M., Buck Louis, G.M. and Gilman, S.E. (2019). A Bayesian Regularized Mediation Analysis with Multiple Exposures. Statistics in Medicine, 18: 828-843.
6. Choi, G., Wang, Y.-B., Sundaram, R., Chen, Z., Boyd Barr, D., Buck Louis, G.M., and Smarr, M.M. (2019). Polybrominated Diphenyl Ethers and Incident Pregnancy Loss: The LIFE Study. Environmental Research, 168: 375-381.
7. Wang, Y.-B., Chen, M.-H., Kuo, L., and Lewis, P.O. (2019). Partition Weighted Approach for Estimating the Marginal Posterior Density With Applications. Journal of Computational and Graphical Statistics, 28(2): 334-349.
8. Wang, Y.-B., Chen, M.-H., Kuo, L., and Lewis, P.O. (2018). A New Monte Carlo Method for Estimating Marginal Likelihoods. Bayesian Analysis, 13(2): 311-333.
9. Lewis, P.O., Chen, M.-H., Kuo, L., Lewis, L.A., Fucikova, K., Neupane, S., Wang, Y.-B., and Shi, D. (2016). Estimating Bayesian Phylogenetic Information Content. Systematic Biology, 65(6): 1009-1023.
