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 Boards

• Associate Editor for Annals of Statistics (2007-2009; 2019-2021);
• Associate Editor for Journal of the American Statistical Association (2011-2013; 2014-2017; 2023-);
• 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-)
• Guest Associate Editor for Statistica Sinica (2005)

Other Professional Service

• Chair of the ICSA Award Committee (2022), International Chinese Statistical Association.
• Chair-Elect (2022) and Chair (2023), Section on Nonparametric Statistics, American Statistical Association.
• Program Co-Chair of the Scientific Committee for the 2019 IMS-China International Conference on Statistics and Probability, July 6-10, 2019, Dalian, China.
• Program Chair-Elect (2014) and Program Chair (2015), Section on Nonparametric Statistics, American Statistical Association.
• Charting Committee of International Society for NonParametric Statistics (2012-2015).
• Board of Directors of the International Chinese Statistical Association (2009-2011).
• Committee on Nominations (August 2009-August 2010), Institute of Mathematical Statistics.

Research Interests

• Medical imaging data analysis;
• Statistical methods for neuroinformatics and bioinformatics;
• Multiple testing; large-scale simultaneous inference and applications;
• Statistical methods for financial econometrics;
• Dimension reduction and high-dimensional inference;
• Non- and semi-parametric modeling & inference;
• Robust statistics;
• Functional & longitudinal data analysis;
• Traffic forecasting in transportation

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-609 (Fall 2023; Fall 2024); STAT-351 (Spring 2024)

• 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).