王康宁，男，1986年3月出生，山东即墨人，博士，副教授

研究方向：非参与半参统计、稳健统计、高维数据和大规模数据统计推断
教育经历：
2004年9月-2008年6月 鲁东大学 数学 本科
2008年9月-2011年6月 苏州大学 统计学 硕士研究生
2012年9月-2016年6月 山东大学 统计学 博士研究生
工作经历
2017年12月-现在 山东工商学院 副教授
2016年6月-2017年12月 山东工商学院 讲师

主要研究成果：

一：论文（仅列第一作者的论文）
1王康宁,李劭珉,林路.基于copula函数的纵向数据复合分位数回归及变量选择.中国科学，2020.
2KangningWang,Wen Shan. Copula and composite quantile regression based estimatingequations for longitudinal data. Annals of the Institute of StatisticalMathematics, 2020.
3 Kangning Wang , Mengjie Hao, Xiaofei Sun. Robust and efficientestimating equations for longitudinal data partial linear models and itsapplications. Statistical Papers,2020.
4 Kangning Wang , Haotian Jin, Xiaofei Sun. Gaussian copula basedcomposite quantile regression in semivarying models with longitudinal data.Communications in Statistics -Theory and Methods,2020.
5 Kangning Wang , Xiaofei Sun. Efficient parameter estimation andvariable selection in partial linear varying coefficient quantile regressionmodel with longitudinal data. Statistical Papers,2020.
6 Kangning Wang, Lu Lin. Variable selection for varyingcoefficient models via kernel based regularized rank regression. Acta Mathematicae Applicatae Sinica --EnglishSeries,2020.
7 Kangning Wang, Shaomin Li, Xiaofei Sun, Lu Lin. Modal regressionstatistical inference for longitudinal data semivarying coefficient models:generalized estimating equations, empirical likelihood and variable selection,Computational Statistics and Data Analysis,2019.
8 Kangning Wang , Lu Lin. (2019). Robust and efficient estimatorfor simultaneous model structure identification and variable selection ingeneralized partial linear varying coefficient models with longitudinal data .Statistical Papers,2019年.
9 KangningWang.Variable selection for spatial semivarying coefficient models, Annals ofthe Institute of Statistical Mathematics,2018.
10 Kangning Wang, LuLin. Robust and efficient direction identification for a groupwise additivemultiple-index models and its applications. TEST,2017.
11 Kangning Wang , Lu Lin. (2016). Robust structure identificationand variable selection in partial linear varying coefficient models. Journal ofStatistical Planning and Inference,2016.
12王康宁,林路.空间非参回归的变量选择.中国科学,2016.
13 Kangning Wang, Lu Lin. Simultaneous structure estimation andvariable selection in partial linear varying coefficient models forlongitudinal data. Journal of Statistical Computation and Simulation,2015.
14 Kangning Wang, Lu Lin. Walsh-average based variable selectionfor varying coefficient models. Journal of the Korean Statistical Society,2015.
15 Kangning Wang, Lu Lin. Variable selection in semiparametricquantile modeling for longitudinal data. Communications in Statistics - Theoryand Methods,2015.
16 Kangning Wang. Robust direction identification and variableselection in high dimensional general single-index. Journal of the KoreanStatistical Society,2015.
17 Kangning Wang, Lu Lin. New efficient estimation and variableselection in models with single-index structure. Statistics and ProbabilityLetters ,2014.
18 Kangning Wang, Lu Lin. Variable selection in robustsemiparametric modeling for longitudinal data. Journal of the KoreanStatistical Society,2014.
19 王康宁，汪四水. 基于Bayes后验概率的自变量与异常点的同时识别.统计研究,2012.

二：课题（仅列主持的项目）
1. 基于copula和复合分位数回归的高维纵向数据估计方程、经验似然及变量选择(**),国家自然科学基金项目,2020.01-2022.12,主持人，在研；
2. 超高维空间相依数据半参分位数回归模型的统计推断方法研究(ZR2017BA002),山东省自然科学基金项目,2017.08-2019.12,主持人,已结题;

讲授课程
《统计计算》《数理统计学》《统计学》