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About

Contact Information

P: 864-656-3434
E: mathsci@clemson.edu

Campus Location

O-110 Martin Hall

Hours

Monday - Friday:
8 a.m. - 4:30 p.m.

Profile


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Yu-Bo Wang

Mathematical and Statistical Sciences

Assistant Professor

864-656-2617
Martin Hall O120 [Office]

yubow@clemson.edu
Website
CV

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.

Contact Information

P: 864-656-3434
E: mathsci@clemson.edu

Campus Location

O-110 Martin Hall

Hours

Monday - Friday:
8 a.m. - 4:30 p.m.