Fang Yao Chair Professor

Affiliation

Department of Probability & Statistics

School of Mathematical Sciences

Center for Statistical Science

Peking University

Office

Room 255, Science Building #5

Phone

+86 (10) 62760376

Biography

Dr. Fang Yao is Chair Professor in Statistics at Peking University (PKU), serving as the Department Head of Probability & Statistics and the Director of the Center for Statistical Science at PKU. He is a Fellow of the Institute of Mathematical Statistics (IMS), the American Statistical Association (ASA), and an elected member of International Statistical Institute (ISI). Dr. Yao received his B.S. degree in 2000 from University of Science & Technology in China, and his Ph.D. degree in Statistics in 2003 at University of California, Davis under the supervision of Prof. Hans G. Müller and Jane-Ling Wang. He was a tenured Full Professor in Statistical Science at University of Toronto, and has been selected into the National Talents Program of China.

Dr. Yao’s research focuses on complex-structured data analysis, including functional, high-dimensional, manifold and non-Euclidean data objects; incorporating machine/deep learning and partial/ordinary differential equations to establish scalable statistical modeling and inference; conducting applications involving functional, high-dimensional and differential dynamics in biomedical studies, human genetics, neuroimaging, finance and economics, engineering etc. He has received the CRM-SSC Prize that recognizes a statistical scientist’s professional accomplishments in research primarily conducted in Canada during the fifteen years after receiving a doctorate. He has served as the Editor for Canadian Journal of Statistics (2019-2021), and is/was on editorial boards for a numebr of statistical journals, including the Annals of Statistics and Journal of the American Statistical Association.

Latest News

The former PhD student, Xiaoyu Hu who is a Post-doc fellow at NUS, has the article accepted by JASA--Congratulations!
Hu, X., and Yao, F.* (2022). Dynamic principal component analysis in high dimensions. Journal of the American Statistical Association, accepted.

The PhD student, Hang Zhou, has the article accepted by Biometrika--Congratulations!
Zhou, H, Yao, F.*, and Zhang, H. (2022). Functional linear regression for discretely observed data: from ideal to reality. Biometrika, accepted.

Congratulations to Ying Yang, Hang Zhou and Lingxuan Shao for successful defence of their PhD dissertations!

The postdoc fellow, Yang Zhou, has the article accepted by Journal of Machine Learning Research--Congratulations!
Zhou, Y., Koustaal, M., Yu, D., Kong, D., Yao, F.* (2022). Nonparametric principal subspace regression. Journal of Machine Learning Research, accepted.

The PhD student, Lingxuan Shao, has the article accepted by The Annals of Statistics--Congratulations!
Shao, L., Lin Z., and Yao, F.* (2022). Intrinsic Riemannian functional data analysis for sparse longitudinal observations.  The Annals of Statistics, accepted.

The PhD student, Ying Yang, has published online the article--Congratulations!
Ying, Y., and Yao, F.*(2022). Online estimation for functional data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2021.2002158.

The former PhD student, Decai Liang who is an Assistant Professor in School of Statistics and Data Science at Nankai University, has published online the article--Congratulations!
Liang, D., Huang, H., Guan, Y., and Yao, F.* (2022). Test of weak separability for spatially stationary functional field. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2021.2002156.

A recent paper on the number of change-points selection, collaborated with Professor Changliang Zou (Nankai U), has been published online.
Chen, H., Ren, H., Yao, F.*, and Zou, C. (2021). Data-driven selection of the number of change-points via error rate control. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2021.1999820.

The former PhD student, Zhenhua Lin who is an Assistant Professor in Department of Statistics and Data Science at National Singapore University, has published the article--Congratulations!
Lin, Z., and Yao, F.* (2021). Functional regression on manifold with contamination. Biometrika, 108(2), 167-181.

Editorial Services

Editor for Canadian Journal of Statistics, 2019-2021.

Associate Editor for Journal of the American Statistical Association, 2014-present.

Associate Editor for Journal of Computational and Graphical Statistics, 2012-present.

Associate Editor for Statistica Sinica, 2011-2014, 2017-present.

Completed Associate Editor terms: Annals of Statistics (2008--2009, 2013--2015), Bernoulli Journal (2013--2015), Electronic Journal of Statistics (2010--2012), Journal of Multivariate Analysis (2016-2018), Journal of Statistical Planning and Inference (2012--2014).