Han Yu, Ph.D.
Assistant Professor
Applied Statistics and Research Methods
Education and Behavioral Sciences
Contact Information
Mailing Address
University of Northern Colorado
Applied Statistics and Research Methods
Campus Box 124
Greeley, CO 80639
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