Chunming Zhang

Professor of Statistics

Education

• PhD (2000), statistics, University of North Carolina-Chapel Hill
• MS, computational mathematics, Academia Sinica, Beijing, China
• BS, mathematical statistics, Nankai University, Tianjin, China

Position Held

• 2010-now: Professor of Statistics, University of Wisconsin-Madison.
• 2005-2010: Associate Professor of Statistics, University of Wisconsin-Madison.
• 2000-2005: Assistant Professor of Statistics, University of Wisconsin-Madison.

Editorial Board

• Associate Editor for Annals of Statistics (2007-2009; 2019-2021);
• Associate Editor for Journal of the American Statistical Association (2011-2013; 2014-2017);
• Associate Editor for Journal of Statistical Planning and Inference (2012--2018);
• Associate Editor for Journal of Data Science (2020--);
• Associate Editor for The New England Journal of Statistics in Data Science (2020--)

Research Interests

• Statistical learning & data mining
• Statistical methods with applications to imaging, neuroinformatics and bioinformatics
• Multiple testing; large-scale simultaneous inference and applications
• Statistical methods in financial econometrics
• Non- and semi-parametric estimation & inference
• Functional & longitudinal data analysis

Selected Publications

• Guo, R.S., Zhang, C.M. and Zhang, Z.J. (2020). "Maximum Independent Component Analysis with application to EEG data". Statistical Science, 35, 145--157.
• Zhang, C.M., Chai, Y., Guo, X., Gao, M., Devilbiss, D.M., and Zhang, Z. (2016). "Statistical learning of neuronal functional connectivity". Technometrics, 58, 350-359.
• Liu, J. Zhang, C.M., and Page, D. (2016). "Multiple testing under dependence via graphical models". Annals of Applied Statistics, 10, 1699-1724.
• Du, L. and Zhang, C.M. (2014). "Single-index modulated multiple testing". Annals of Statistics, 42, 1262-1311.
• Yu, T., Zhang, C.M., Alexander, A.L., and Davidson, R.J. (2013). "Local tests for identifying anisotropic diffusion areas in human brain with DTI". Annals of Applied Statistics, 7, 201-225.
• Zhang, C.M., Fan, J. and Yu, T. (2011). "Multiple testing via FDR_L for large-scale imaging data". Annals of Statistics, 39, 613-642.
• Zhang, C.M., Jiang, Y., and Chai, Y. (2010). "Penalized Bregman divergence for large-dimensional regression and classification". Biometrika, 97, 551-566.
• Zhang, C.M. and Yu, T. (2008). "Semiparametric detection of significant activation for brain fMRI". Annals of Statistics, 36, 1693-1725.
• Hall, P., Minnotte, M.C., and Zhang, C.M. (2004). "Bump hunting with non-Gaussian kernels". Annals of Statistics, 32, 2124-2141.
• Zhang, C.M. (2003). "Calibrating the degrees of freedom for automatic data smoothing and effective curve checking". Journal of the American Statistical Association, 98, 609-628.
• Fan, J. and Zhang, C.M. (2003). "A reexamination of diffusion estimators with applications to financial model validation". Journal of the American Statistical Association, 98, 118-134.
• Fan, J., Zhang, C.M., and Zhang, Jian (2001). "Generalized likelihood ratio statistics and Wilks phenomenon". Annals of Statistics, 29, 153-193. (correction, 2002, 30, 1811-1811.)

Students and collaborators

Teaching

• STAT-351 (Introductory Nonparametric Statistics).
• STAT-609 (Mathematical Statistics I).
• STAT-610 (Mathematical Statistics II).
• STAT-732 (Large Sample Theory of Statistical Inference)
• STAT-809 (Non-Parametric Statistics).