康晓宁 讲师
应用统计教研组


教育背景    
本科:大连理工大学,数学专业
硕士:大连理工大学,数学专业
博士:Virginia Tech,统计专业

科研成果或研究方向    
RESEARCH INTERESTS
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.



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