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Education background

Virginia Tech, Blacksburg, VA, USA Ph.D. in Statistics 07/2016
Dalian Univ. of Technology, Dalian, China M.S. in Mathematics 07/2011
Dalian Univ. of Technology, Dalian, China B.S. in Mathematics 07/2008

Research areas

Large sparse inverse covariance matrix estimation and its application
High-dimensional data analysis and modeling
Bayesian hierarchical modeling
Semiparametric modeling and inference

PUBLICATIONS
Kang X., Deng X., Tsui K. and Pourahmadi M. (2016). Sequential Multivariate GARCH Models for High-Dimensional Time Series, submitted.
Kang L., Kang X., Deng X. and Jin R. (2016). Bayesian Hierarchical Models for Quantitative and Qualitative Responses, submitted.
Zheng H., Tsui K., Kang X. and Deng X. (2017). Cholesky-Based Model Averaging for Covariance Matrix Estimation. Statistical Theory and Related Fields, accepted.
Wang X., Song L. and Kang X. (2014). Profile Likelihood Inferences on the Partially Linear Model with a Diverging Number of Parameters. Communications in Statistics – Theory and Methods, 43(1), 13-27.