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Publications

Bing Li & John Petkau (1990). A Regression Model with Random Effects for Beer Chemistry and Canadian's Beer

Preferences. Canadian Journal of Statistics 18, No.2, 108-12.

 

Bing Li & Ruben Zamar (1991). Min-max Asymptotic Variance of M-Estimates of Location When Scale is Unknown.

Statistics and Probability Letters11, 139-145.

 

Wing Hung Wong & Bing Li (1992). Laplace expansion for posterior densities of nonlinear functions of parameters.

Biometrika.79, 393-8.

 

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

 

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

page 340-356.

 

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

page 399-406.

 

Bruce Lindsay & Bing Li (1995). Comment on the papers `The roles of conditioning in inference' by Reid, and `Inference

based on estimating functions in the presence of nuisance parameters' by Liang & Zeger. Statistical Science 10, page 175-177.

 

Bing Li & Ruben Zamar (1996). M-Estimates of Regression when Scale is Unknown and the Error Distribution is Possibly

Asymmetric: A Minimax Result. Canadian Journal of Statistics 24, page 193-206.

 

Nancy Heckman & Bing Li (1996). Nonparametric tests for bounds on the derivative of a regression function. Annals of the

Institute of Statistical Mathematics 48, page 315-336.

 

Bing Li & Bruce Lindsay (1996). Chi-square tests for generalized estimating equations with possibly misspecified weights.

Scandinavian Journal of Statistics 23, page 489-509.

 

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

page 1283-1297.

 

Bing Li (1997). On the consistency of generalized estimating equations. Selected proceedings of the Symposium on Estimating

Functions, page 108-129.

 

Bruce Lindsay & Bing Li (1997). On second-order optimality of the observed Fisher information. The Annals of

Statistics 25, 2172-2199.

 

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

 

Bing Li (2000). Nonparametric estimating equations based on a Penalized Information Criterion. Canadian Journal

of Statistics28, 621-639.

 

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

Biometrika 87,  page 823-836.

 

Bing Li (2000). Comment on `On Profile Likelihood' by S. A. Murphy and A. W. van der VaartJournal of the American

Statistical Association   95, 472-473.

 

Bing Li (2000). Comment on `Eliminating multiple roots problems in estimation' by Small, Wang, and Yang.  Statistical

Science. 15, 336-339.

 

Bing Li (2001). Sensitivity of Rao's score test, the Wald test and the likelihood ratio test to nuisance parameters.

Journal of Statistical Planning and Inference,  97, 57-66.

 

Bing Li (2001). On quasilikelihood equations with nonparametric weights. Scandinavian Journal of Statistics, 

28, 577-602.

 

Xiaotong Shen and Bing Li (2001). Comment on `Inference for semiparametric models: some current frontiers' by 

Peter J. Bickel and Jaimyoung Kwon.  Statistics Sinica.  11, 936-940.

 

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

30, 455-474.

 

Francesca Chiaromonte, Dennis Cook, and Bing Li (2002).  Partial dimension reduction with categorical predictors.

The Annals of Statistics.  30, 475-497.

 

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 

 

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

 

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

 

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 of American

Statistical Association. 102, 997-1008.

 

Bing Li (2007). Comment on Fisher Lecture: Dimension Reduction in Regression by R. Dennis Cook.

Statistical Science. 22, 32-35.

 

Xiangrong Yin, Bing Li, and Dennis Cook (2008). Successive direction extraction for estimating the central

Subspace in a multiple-index regression. Journal of Multivariate Analysis. 99, 1733 - 1757.

 

 

Abram Kagan and Bing Li (2008). An identity for the Fisher information and Mahalanobis distance. Journal of Statistical Planning and Inference. 138 3950-3959.

 

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.

 

Andreas Artemiou and Bing Li (2009). On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica. 19, 1557-1566.

 

Bing Li and Yuexiao Dong (2009). Dimension reduction for non-elliptically distributed predictors.

The Annals of Statistics.37, 1272-1298.

 

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

 

Bing Li, Min Kyung Kim, and Naomi Altman (2010). On dimension folding of matrix or array valued statistical objects. The Annals of Statistics. 38, 1097 - 1121.

 

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.

 

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

 

Bing Li, Hyonho Chun, and Hongyu Zhao (2012). Sparse estimation of conditional graphical models with application to gene networks. To appear in Journal of American Statistical Association.

 

 


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