Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Professor of Statistics
University of Illinois Urbana-Champaign
Research Interests
Bayesian methods
Decision theory
Information theory
Minimum description length principle
Data mining
Education
Ph.D. Statistics, Yale University, New Haven, CT, 2002
B.A. Mathematics, Peking University, P.R. China, 1997
Additional Campus Affiliations
Professor, Information Trust Institute
External Links
Honors & Awards
Associate Editor for Bayesian Analysis, 2009 – 2015
Editor for the ISBA Bulletin, 2013 – 2015
Recent Publications
Chen, Y., He, S., Yang, Y., & Liang, F. (Accepted/In press). Learning Topic Models: Identifiability and Finite-Sample Analysis. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2022.2089574
Wang, J., Ouyang, Y., Ji, Y., & Liang, F. (2022). An Ensemble EM Algorithm for Bayesian Variable Selection. Bayesian Analysis, 17(3), 879-900. https://doi.org/10.1214/21-BA1275
Yin, W., Zhao, S. D., & Liang, F. (2022). Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models. Lifetime Data Analysis, 28(2), 282-318. https://doi.org/10.1007/s10985-022-09549-5
Cui, N., Hu, J., & Liang, F. (2021). Complementary dimension reduction. Statistical Analysis and Data Mining, 14(1), 31-40. https://doi.org/10.1002/sam.11484
Xu, T., & Liang, F. (2021). Machine learning for hydrologic sciences: An introductory overview. Wiley Interdisciplinary Reviews: Water, 8(5), [e1533]. https://doi.org/10.1002/wat2.1533