Han Yu, Ph.D.

Contact Information

Education

• Ph.D. in Statistics, Department of Statistics, Florida State University

Professional/Academic Experience

Graduate Courses Taught:

• SRM 731 Multivariate Analysis
• SRM 641 Special Topics: Data Mining
• SRM 620 Advanced Statistical Programming
• SRM 608 Experimental Design
• SRM 552 Mathematical Statistics II
• SRM 551 Mathematical Statistics I
• SRM 610 Statistical Methods III
• SRM 602 Statistical Methods I
• SRM 522 Introduction to R

Research/Areas of Interest

My research focuses on the integration of probability and statistical theory and associated high-performance computing applied to the high-dimensional complex data covering.

• Infinite-Dimensional and High-Dimensional Probability and Statistics
• Network-based Bayesian Semiparametric Causal Inference
• Dynamic Spatio-Temporal Semiparametric Models
• Empirical Processes, Random Fields and Dirichlet Processes
• Function Estimation
• Information Theory
• AI-Enabled Network-based Statistical Machine Learning and Decision

Publications/Creative Works

• Shi, T., Yu, H., Lim, C.L. (2021) Consumer affinity and an extended view of the spillover effects of attitudes toward a cross-border-acquisition event. Journal of Brand Management. https://doi.org/10.1057/s41262-021-00246-6
• Yu, H., Jiang, S., and Huang, H. (2021) Spatio-Temporal Parse Network-Based Trajectory Modeling on The Dynamics of Criminal Justice System. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2021.1887101
• Wang, J.Y.  and Yu, H. (2020) The Measure on the Original Space from A Product Measure. Journal of Mathematical Analysis and Applications. 491(1), 1 November 2020. https://doi.org/10.1016/j.jmaa.2020.124272
• Woods, C., Yu, H.  and Huang, H. (2020) Predicting the Success of Entrepreneurial Campaigns in Crowdfunding: A Spatio-Temporal Approach. 9, Article number: 13 (2020).  https://doi.org/10.1186/s13731-020-00122-8
• Vetter, R. E., Yu, H., Foose, A. K., Adams, P. J. and Dodd, R. K. (2017) Comparison of Training Intensity Patterns for Cardiorespiratory, Speed and Strength Exercise Programs. Journal of Strength and Conditioning Research (JSCR). 31(12):3372-3395, December 2017.  https://doi.org/10.1519/JSC.0000000000001961
• Vetter, R. E., Yu, H., and Foose, A. K. (2016) The Effects of Moderators on Physical Training Programs: A Bayesian Approach. Journal of Strength and Conditioning Research (JSCR). 31(7): 1868-1878. July 2017.  https://doi.org/10.1519/JSC.0000000000001585
• Yu, H., Jiang, S., and Land, K. (2015) Multicollinearity in Hierarchical Linear Models. Social Science Research. 53(2015). 118-136. https://doi.org/10.1016/j.ssresearch.2015.04.008

Honors and Awards

• 2021 NSF travel grant ($800) for NSF/CBMS Research Conference on Gaussian Random Fields, Fractals, SPDEs, and Extremes
• 2019 Best Award in model/analysis in the Symposium on Data Science & Statistics Data Challenge
• 2016 Co-PI:  MRI: Acquisition of the Bartik High-Performance Computing Cluster. Sponsor: National Science Foundation (NSF) Award Number: 1624416. Years of Proposal Writing: 2014-2016 along with establishing new multidisciplinary data science program (approved) Amount of Funding: $225,607.00.
• 2014 NSF Travel Award: the 3rd workshop on Biostatistics and Bioinformatics Sponsors: GSU Research Foundation, National Science Foundation, Institution of Mathematical Statistics, International Chinese Statistical Association and Department of Mathematics and Statistics, Georgia State University.
• 2009 Co-PI: The ASA/BJS Small Grants Research Program with PI Shanhe Jiang. Sponsors: American Statistics Association (ASA) and Bureau of Justice Statistics (BJS). Amount of Funding: $29,517.00.
• 2006 First Class Prize of Student Paper Competition. Florida Chapter of the American Statistics Associate (ASA) Annual Meeting