Department of Statistics | Kansas State University | ASA | IMS

research interest

Mixture models

Longitudinal data analysis

Robust estimation

Variable selection

High dimensional modeling

Nonparametric and semiparametric modeling

Dimension reduction

links

Weixin Yao, Ph.D. (CV)

Assistant Professor
108C Dickens Hall
Department of Statistics
Kansas State University
Manhattan, KS, 66506
Phone: (785) 532-0522
Fax: (785) 532-7736
Email: wxyao@ksu.edu

I received my Ph.D. in 2007 from the Department of Statistics, The Pennsylvania State University, under the supervision of Dr. Bruce G. Lindsay and Dr. Runze Li.

Research Interest

Mixture models; Nonparametric and semiparametric modeling; Longitudinal data analysis; Robust estimation; High dimensional modeling; Variable selection; Dimension reduction.

Selected Referred Publications (Full List)

Yao, W. and Wang, Q. (2012). Robust variable selection through MAVE. To appear at Computational Statistics and Data Analysis.
Lindsay, B. G. and Yao, W. (2012). Fisher Information Matrix: A Tool for Dimension Reduction, Projection Pursuit, Independent Components Analysis, and More. To appear at The Canadian Journal of Statistics.
Yao, W. and Li, R. (2012). New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. To appear at Journal of the Royal Statistical Society, Ser B.
Huang, M. and Yao, W. (2012). Mixture of Regression Models with Varying Mixing Proportions: A Semiparametric Approach. Journal of American Statistical Association107, 711-724.
Yao, W., Lindsay, B. G., and Li, R. (2012). Local modal regression. Journal of Nonparametric Statistics, 24, 647-663.
Yao, W. (2012). Model Based Labeling for Mixture Models. Statistics and Computing, 22, 337-347.
Bai, X., Yao, W., and Boyer, J. E. (2012). Robust Mixture of Regression. Computational Statistics and Data Analysis, 56, 2347-2359.
Zhao, Z. and Yao, W. (2012). Sequential Design for Nonparametric Inference. The Canadian Journal of Statistics, 40, 362-377.
Wang, Q. and Yao, W. (2012). An Adaptive Estimation of MAVE. Journal of Multivariate Data Analysis, 104, 88-100.
Cao, J. and Yao, W. (2012). Semiparametric Mixture of Binomial Regression with a Degenerate Component. Statistica Sinica, 22, 27-46.
Yao, W. (2010). A Profile Likelihood Method for Normal Mixture with Unequal Variance. Journal of Statistical Planning and Inference, 140, 2089-2098. Matlab code.
Yao, W. and Lindsay, B. G. (2009). Bayesian Mixture Labeling by Highest Posterior Density. Journal of American Statistical Association, 104, 758-767. Matlab code.