康晓宁 副教授
商业分析教研室

康晓宁,东北财经大学国际商学院、现代供应链管理研究院副教授,硕士生导师。本科、硕士毕业于大连理工大学数学系,博士毕业于美国弗吉尼亚理工大学统计系。主要研究领域包括高维矩阵估计、混合数据建模、半参数模型的统计推断、贝叶斯统计、计算机实验设计等。曾先后主持和参与国家自然科学基金、教育部人文社科基金、辽宁省教育厅基金等项目。其研究成果已发表在国际统计协会(ISI)会刊International Statistical Review, 加拿大统计协会(SSC)会刊Canadian Journal of Statistics,美国质量协会(ASQ)会刊Journal of Quality Technology, 以及IISE Transactions,Journal of Statistical Computation and Simulation, Journal of Applied Statistics 等国际期刊上。


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


研究方向
High-dimensional data analysis
Large matrix estimation and its application
Bayesian hierarchical modeling
Mixed responses data analysis
Computer experiments design


期刊与专著


1.Wang M., Kang X.# and Tian G. (2020). Modified adaptive group Lasso for high-dimensional varying coefficient models, Communications in Statistics - Simulation and Computation, accepted.
2.Kang X. and Deng X. (2020). On variable ordination of Cholesky-based estimation for a sparse covariance matrix, Canadian Journal of Statistics, accepted.
3.Kang X., Chen X., Jin R., Wu H. and Deng X. (2020). Multivariate regression of mixed responses for evaluation of visualization designs. IISE Transactions, accepted.
4.Kang X., Deng X., Tsui K. and Pourahmadi M. (2020). On variable ordination of modified Cholesky decomposition for estimating time-varying covariance matrices. International Statistical Review, in press.
5.Wang M., Zhao P. and Kang X.* (2020). Structure identification for varying coefficient models with measurement errors based on kernel smoothing. Statistical Papers, 61(5), 1841-1857.
6.Kang X. and Deng X. (2020). Design and analysis of computer experiments with quantitative and qualitative inputs: a selective review. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, 10(3), e1358.
7.Kang X. and Deng X. (2020). An improved modified Cholesky decomposition approach for precision matrix estimation. Journal of Statistical Computation and Simulation, 90(3), 443-464.
8.Kang X., Xie C. and Wang M. (2020). A Cholesky-based estimation for large-dimensional covariance matrices. Journal of Applied Statistics, 47(6), 1017-1030.
9.Kang L., Kang X.#, Deng X. and Jin R. (2018). A Bayesian hierarchical model for quantitative and qualitative responses. Journal of Quality Technology, 50(3), 290-308.
10.Zheng H., Tsui K., Kang X. and Deng X. (2017). Cholesky-based model averaging for covariance matrix estimation. Statistical Theory and Related Fields, 1(1), 48-58.
11.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.



主持项目


1.教育部人文社科基金项目,高维数据背景下协方差阵及其逆矩阵估计的理论研究和应用,主持。
2.辽宁省教育厅项目,高维协方差矩阵估计的理论研究,主持。
3.国家自然科学基金面上项目,多渠道多产品环境下三类随机动态库存系统最优策略的研究,参与。




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