Scholar
Jun Shao
Google Scholar ID: WQT_nKQAAAAJ
Professor of Statistics, University of Wisconsin Madison
Citations & Impact
Citations
7,445
H-index
34
i10-index
72
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Editor: Statistical Theory and Related Fields (Jan. 2017--present)
- - Editor: Journal of Nonparametric Statistics (Jan. 2016--Dec. 2018)
- - Co-Editor: Journal of System Science and Complexity (June 2014--Sept. 2019)
- - Management Board Member: Statistics and Its Interfaces (Dec. 2007--present)
- - Associate Editor: Statistica Sinica (June, 1991--Dec. 2008)
- - Associate Editor: Journal of American Statistical Association (March 1993--Dec. 1996, Jan. 1999--Dec. 2005)
- - Co-Editor: Journal of Multivariate Analysis (Jan. 2002--Dec. 2005)
- - Co-Editor: Sankhya (Jan. 2002--Dec. 2007)
- - Fellow: Institute of Mathematical Statistics
- - Fellow: American Statistical Association
- - Member: International Chinese Statistical Association
- - Board of Directors: International Chinese Statistical Association (Aug. 1999--Aug. 2002)
- - President: International Chinese Statistical Association (2007)
Research Experience
- - Professor: 1996-present, Statistics, University of Wisconsin
- - Chair: 2005-2009, Statistics Department, University of Wisconsin
- - Associate Chair: 1997-2004, Statistics Department, University of Wisconsin
- - Statistician: 2008-present, US Census Bureau
- - Senior Research Fellow: 1996-1997, 2006-2007 NSF/ASA/BLS/Census Bureau
- - Senior Research Fellow: 1998, Covance
- - Associate Professor: 1994-1996, Statistics, University of Wisconsin
- - Associate Professor: 1991-1993, Mathematics, University of Ottawa
- - Assistant Professor: 1989-1991, Mathematics, University of Ottawa
- - Assistant Professor: 1987-1989, Statistics, Purdue University
Education
- - B.S. in Mathematics, 1978--1982, East China Normal University
- - Ph.D. in Statistics, 1983--1987, University of Wisconsin-Madison
Background
- Research Interests: The jackknife, bootstrap and other resampling methods; Variable selection and inference with high dimensional data; Sample surveys (variance estimation, imputation for nonrespondents); Missing data (nonignorable missing, dropout, semi-parametric methods); Longitudinal data analysis with missing data and/or measurement error; Medical statistics (clinical trials, personalized medicine, covariate-adaptive design).
Miscellany
- Lecture Materials: STAT 609, STAT 709, STAT 710, STAT 992 (Variable Selection)
- Text Book: Mathematical Statistics
Co-authors