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
13. Yang, Y., McMahan, C., Wang, Y.-B., and Ouyang, Y. (2023+). Estimation of l0 Norm Penalized Models: A Statistical Treatment. Computational Statistics and Data Analysis. (In press)
12. Yang, Y., McMahan, C., Wang, Y.-B., Baurley, J.W., and Park, S.S. (2023+). SIGHR: Side Information Guided High-dimensional Regression. Statistical Methods in Medical Research. (In press)
11. Chang, Y.-C., Choi, M., Wang, Y.-B., Lee, S.-M., Yang, M., Wu, B. H., Fiorellini, J. (2023+). Risk Factors Associated with the Survival of Endodontically Treated Teeth: A Retrospective Chart Review. The Journal of the American Dental Association. (In press)
10. 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, 72(3): 639-648.
9. 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. (online ahead of print)
8. 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, 15: 114-140.
7. 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.
6. 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.
5. 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.
4. 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.
3. 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.
2. 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.
1. Pozdnyakov, V., Meyer, T.H., Wang, Y.-B., and Yan, J. (2014). On Modeling Animal Movements Using Brownian Motion with Measurement Error. Ecology, 95: 247-253.
