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


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


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.