Research Areas
Nonparametric function estimation and classification
Adaptive estimation, model/procedure selection and combining
Regression with dependent errors
Multi-armed bandits with covariates
Machine learning/AI
Education
Ph.D., Statistics 1996
Yale University New Haven, CT
M.S., Statistics 1992
University of Illinois at Urbana-Champaign Champaign, IL
B.S., Mathematics 1988
University of Science and Technology of China Hefei, China
Research experience
Full Professor Sept. 2007-present
University of Minnesota
Visiting Fellow Sept. 2011-Jan. 2012
Academia Sinica
Visiting Professor June-July 2007
University of Paris-Sud 11
Associate Professor Sept. 2004-Aug. 2007
University of Minnesota
Visiting Associate Professor June-July 2006
Peking University
Associate Professor Aug. 2001-Aug. 2004
Iowa State University
New Direction Visiting Professor Sept. 2003-June 2004
Institute for Mathematics and its Applications, University of Minnesota
Assistant Professor Oct. 1996-July 2001
Iowa State University
Summer Intern May-August 1994
Pfizer Inc., Population pharmacokinetics/pharmacodynamics modeling
Honors and rewards
Fellow of Institute of Mathematical Statistics July 2010
NSF CAREER Award July 2001
Publications
1. Yuhong Yang and Andrew Barron (1999). Information theoretic determination of minimax rates of convergence, Annals of Statistics, vol. 27, 1564-1599.
2. Yuhong Yang (2005). Can the strengths of AIC and BIC be combined? -A conflict between model identification and regression estimation. Biometrika, vol 92, 937-950.
3. Davide Ferrari& and Yuhong Yang* (2010). Maximum Lq-likelihood estimation. Annals of Statistics, vol. 38, 753-783.
4. Jiawei Zhang&, Jie Ding and Yuhong Yang*(2022). Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning. Journal of American Statistical Association, to appear.
5. Jingfu Peng& and Yuhong Yang* (2022). On Improvability of Model Selection by Model Averaging. Journal of Econometrics, Vol. 229, 246-262.
