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Bing Li

Bing Li

Main Content

  • Professor
410 Thomas Building
University Park, PA 16802
Phone: (814) 865-1952

Education

  1. BSc in Automatic Control, September 1978 - September 1982, Beijing Institute of Technology, Beijing, China.
  2. MSc in System Sciences, September 1983 - September 1986, Graduate School of Beijing Institute of Technology, Beijing, China. Advisor: Professor Zhi Fang Zhang.
  3. MSc in Statistics, September 1987 - August 1989, The University of British Columbia, Vancouver, Canada. Advisor: Professor John Petkau.
  4. PhD in Statistics, September 1989 - June 1992, The University of Chicago, Chicago, USA. Advisor: Professor Peter McCullagh.

Selected Publications

Zifang Guo, Lexin Li, Wenbin Lu, and Bing Li (2015). Groupwise dimension reduction via envelope method. To appear in Journal of the American Statistical Association. 

Bing Li, Hyonho Chun, and Hongyu Zhao (2014). On an additive semigraphoid model for statistical networks with applications to pathway analysis. Journal of the American Statistical Association. 109, 1188-1204. 

Wei Luo, Bing Li, and Xiangrong Yin (2014). On efficient dimension reduction with respect to a statistical functional of interest. The Annals of Statistics. 42, 382-412. 

Kuang-Yao Lee, Bing Li, Francesca Chiaromonte (2013). A general theory for nonlinear sufficient dimension reduction: formulation and estimation. The Annals of Statistics. 41. 221-249. 

Bing Li, Hyonho Chun, and Hongyu Zhao (2012). Sparse estimation of conditional graphical models with application to gene networks.  Journal of American Statistical Association, 107, 152-167.

Bing Li, Andreas Artemiou, and Lexin Li (2011). Principal support vector machines for linear and nonlinear sufficient dimension reduction. The Annals of Statistics. 39, 3182-3210.

Xiangrong Yin and Bing Li (2011). Sufficient dimension reduction based on an ensemble of minimum average variance estimators. The Annals of Statistics. 39, 3392-3416.

Bing Li, Min Kyung Kim, and Naomi Altman (2010). On dimension folding of matrix or array valued statistical objects. The Annals of Statistics. 38, 1094-1121

Yuexiao Dong and Bing Li (2010). Dimension reduction for non-elliptically distributed predictors: second-order methods. Biometrika. 97, 279-294.

R. Dennis Cook, Bing Li, and Francesca Chiaromonte (2010). Envelope models for parsimonious and efficient multivariate linear regression (with discussion). Statistica Sinica. 20, 927-1010.

Lexin Li, Bing Li, and Lixing Zhu (2010). Groupwise dimension reduction. Journal of American Statistical Association. 105, 1188-1201.

Bing Li and Yuexiao Dong (2009). Dimension reduction for non-elliptically distributed predictors. The Annals of Statistics. 37, 1272-1298.

Bing Li, Songqiao Wen, and Lixing Zhu (2008). On a Projective Resampling method
for dimension reduction with multivariate responses. Journal of American Statistical Association. 103, 1177-1186.

Bing Li and Xiangrong Yin (2007). Surrogate dimension reduction for measurement error regression: An invariance law. The Annals of Statistics. 35, 2143-2172.

R. Dennis Cook, Bing Li, and Francesca Chiaromonte (2007). Dimension reduction without matrix inversion. Biometrika. 94, 569-584.

Bing Li and Shaoli Wang (2007). On directional regression for dimension reduction. Journal the American Statistical Association. 102, 997-1008.

Bing Li, Hongyuan Zha, and Francesca Chiaromonte (2005). Contour regression: a general approach to dimension reduction. The Annals of Statistics. 33,1580-1616.

R. Dennis Cook and Bing Li (2004). Determining the dimension of Iterative Hessian Transformation. The Annals of Statistics. 32, 2501-2531.

Bing Li, R. Dennis Cook, and Francesca Chiaromonte (2003). Dimension reduction for conditional mean in regression with categorical predictors. The Annals of Statistics.
31, 1636-1668.

Francesca Chiaromonte, Dennis Cook, and Bing Li (2002). Partial dimension reduction with categorical predictors. The Annals of Statistics. 30, 475-497.

R. Dennis Cook and Bing Li (2002). Dimension reduction for conditional mean in regression. The Annals of Statistics. 30, 455-474.

Annie Qu., Bruce Lindsay, and Bing Li. (2000). Improving generalized estimating equations using quadratic inference functions. Biometrika. 87, 823-836.

Bing Li. (1998). An optimal estimating equation based on the first three cumulants. Biometrika. 85, 103-114.

Bruce Lindsay and Bing Li. (1997). On second-order optimality of the observed Fisher information. Annals of Statistics. 25, 2172-2199.

Bing Li. (1996). A minimax approach to consistency and efficiency for estimating equations. Annals of Statistics. 24, 1283-1297.

Susan Murphy and Bing Li. (1995). Projected partial likelihood and its application to longitudinal data. Biometrika. 82, 399-406.

Bing Li and Peter McCullagh. (1994). Potential functions and conservative estimating functions. Annals of Statistics. 22, 340-356.

Bing Li (1993). A deviance function for the quasi-likelihood method. Biometrika. 80, 741-753.

Wing Hung Wong and Bing Li (1992). Laplace expansion for posterior densities of nonlinear functions of paramters. Biometrika. 79, 393-398.

Research Interests

 

Dimension reduction, machine learning, graphical models, estimating equations and quasilikelihood, semiparametric estimation, asymptotic theories and methods, longitudinal data analysis.

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