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Runze Li

Runze Li

Main Content

  • Verne M. Willaman Professor
413 Thomas
University Park, PA 16802
Email: rzli@psu.edu
Phone: (814) 865-1555

Education

  1. Ph.D. in Statistics, University of North Carolina at Chapel Hill, 2000

Biography:

 

Academic Positions:

  • Verne M. Willaman Professor since 2014, Penn State University
  • Distinguished Professor from 2012 to 2014, Penn State University
  • Professor from 2008 to 2012, Penn State University
  • Associate Professor from 2005 to 2008, Penn State University
  • Assistant Professor from 2000 to 2005, Penn State University

 

Editorial Service:

  • Co-Editor of Annals of Statistics (2013 - 2015)
  • Associate Editor of Annals of Statistics (2007 - 2012)
  • Associate Editor of Journal of American Statistical Association (2006 - )
  • Associate Editor of Statistica Sinica (2005 - 2012)

 

Organization of professional conferences:

  • IMS program chair for ENAR 2005, Austin, Texas
  • ASA Biometrics Section program chair for JSM 2007, Salt Lake City, Utah
  • Co-chair scientific program committee for the first IMS Asia Pacific Rim Meeting in 2009, Seoul, Korea
  • Program committee member of ICSA 2011 Applied Statistics Symposium, NYC, NY
  • Co-chair scientific program committee for the second IMS Asia Pacific Rim Meeting in 2012, Tokyo, Japan
  • Member of scientific program committee for the second Taihu Lake (Su Zhou) International Statistics Forum, 2013, Suzhou, China
  • Chair scientific program committee for the fourth IMS-Chinain 2013, Chengdu, China

 

Other professional service:

  • ASA Biometrics section executive committee member, 2006-2008
  • Directors of ICSA board, 2007-2009
  • Panelists for DMS and NIH grant review sessions
  • Co-chair of the IMS committee on Asia Pacific Rim meeting, 2007-2012
  • Committee member on federally funded research of ASA, 2010-2012

Selected Publications

  • Cai, Z, Fan, J. and Li, R. (2000). Efficient estimation and inferences for varying-coefficient models. Journal of American Statistical Association, 95, 888-902.
  • Fan, J. and Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of American Statistical Association, 96, 1348-1360.
  • Fan, J. and Li, R. (2002) Variable selection for Cox's proportional hazards model and frailty model. Annals of Statistics, 30, 74-99.
  • Fan, J. and Li, R. (2004). New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis. Journal of American Statistical Association, 99, 710-723.
  • Hunter, D. R. and Li, R. (2005). Variable selection using MM algorithms. Annals of Statistics, 33, 1617-1642.
  • Fan, J. and Li, R. (2006). Statistical challenges with high-dimensionality: feature selection in knowledge discovery. Proceedings of International Congress of Mathematicians, Vol. III, 595-622.
  • Wang, H., Li, R. and Tsai, C.-L. (2007). Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika. 94, 553-568.
  • Fan, J. Huang, T. and Li, R. (2007). Analysis of longitudinal data with semiparametric estimation of covariance function. Journal of American Statistical Association, 102, 632-641.
  • Li, R. and Liang, H. (2008). Variable selection in semiparametric regression modeling. Annals of Statistics, 36, 261-286.
  • Zou, H. and Li, R. (2008). One-step sparse estimates in nonconcave penalized likelihood models (with discussion). Annals of Statistics. 36, 1509-1566.
  • Kai, B., Li, R. and Zou, H. (2010). Local CQR smoothing: an efficient and safe alternative to local polynomial regression. Journal of Royal Statistical Society, Series B. 72, 49-69.
  • Zhang, Y., Li, R. and Tsai, C.-L. (2010). Regularization parameter selections via generalized information criterion. Journal of American Statistical Association. 105, 312-323.
  • Kai, B., Li, R. and Zou, H. (2011). New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models. Annals of Statistics. 39, 305-332.
  • Zhu, L, Li, L., Li, R. and Zhu, L.-X. (2011). Model-free feature screening for ultrahigh dimensional data. Journal of American Statistical Association. 106, 1464 - 1475.
  • Li, R., Zhong, W. and Zhu, L. (2012). Feature screening via distance correlation learning. Journal of American Statistical Association. 107, 1129 - 1139.
  • Fan, Y. and Li, R. (2012). Variable selection in linear mixed effects models. Annals of Statistics. 40, 2043 - 2068.
  • Zhu, H., Li, R. and Kong, L. (2012). Multivariate varying coefficient models for functional responses. Annals of Statistics. 40, 2634 - 2666.
  • Liu, J., Li, R. and Wu, R. (2014). Feature Selection for varying coefficient models with ultrahigh dimensional covariates. Journal of American Statistical Association. 109, 266 - 274.
  • Li, J., Zhong, W., Li, R. and Wu, R. (2014). A fast algorithm for detecting gene-gene interactions in genome-wide association studies. The Annals of Applied Statistics. 8, 2292 - 2318.
  • Wang, L., Peng, B. and Li, R. (2015). A high-dimensional nonparametric multivariate test for mean vector. Journal of American Statistical Association. 110, 1658 - 1669.
  • Cui, H., Li, R. and Zhong, W. (2015). Model-free feature screening for ultrahigh dimensional discriminant analysis. Journal of American Statistical Association. 110, 630 - 641.

 

These papers can be downloaded from my personal website: http://www.personal.psu.edu/ril4/.

Research Interests

  • Variable selection for high-dimensional data
  • Feature screening for ultrahigh-dimensinal data
  • Longitudinal and intensive longitudinal data analysis
  • Nonparametric regression modeling and local polynomial regression
  • Semiparametric regression modeling
  • Statistical genetics and bioinformatics
  • Statistical applications to engineering, meteorological research, neural science research and social and behavioral science research

Honors and Awards

  • NSF Career Award, 2004
  • Fellow, Institute of Mathematical Statistics
  • Fellow, American Statistical Association
  • The United Nations' World Meteorological Organization Gerbier-Mumm International Award for 2012
  • Highly Cited Researcher in Mathematics 2014 - 2016 (http://highlycited.com/)

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