教师名录

性别 民族
出生年月 1984.9 职称 讲师
职务 导师资格
电话 联系地址 宁远楼411
E-mail stat0625@nxu.edu.cn 姓 名 张强
教育经历 2015年9月至2019年6月  南京理工大学 博士研究生<br>
2009年9月至2012年6月  新疆大学     硕士研究生<br>
2005年9月至2009年7月  新疆农业大学 本科
工作经历 2012.9-2015.6 石河子大学教学科研<br>
2019.8-至今 澳门太阳集团2020网站教学科研
研究方向 保险精算与金融数学,代表性研究成果 承担项目 [1]宁夏高等学校自然科学项目,相依风险模型下的鲁棒最优再保险投资问题研究,主持,在研.<br>
[2]宁夏重点研发项目(引才专项), 一类耦合随机系统的联合最优控制及应用研究,主持,在研.
科研成果 [1] Qiang Zhang, Qianqian Cui, Ping Chen. Multidimensional credibility estimators with random common effects and time effects. Journal of Systems Science and Complexity, 2017, 30(5): 1107-1120. (SCI)<br>
[2] Qiang Zhang, Lijun Wu, Qianqian Cui.The balanced credibility estimators with correlation risk and inflation factor. Statistical Papers, 2017, 58(3): 659-672. (SCI)<br>
[3] Qiang Zhang, Qianqian Cui, Ping Chen.Time-consistent reinsurance-investment strategy for mean-variance insurers with defaultable security and jumps. Hacettepe Journal of Mathematics and Statistics, 2018, 47(3): 763-781. (SCI)<br>
[4] Qiang Zhang, Ping Chen.Time-consistent mean-variance proportional reinsurance and investment problem in a defaultable market. Optimization, 2018, 67(5): 683-699. (SCI)<br>
[5] Qiang Zhang, Ping Chen. Credibility estimators with dependence structure over risks and time under balanced loss function. Statistica Neerlandica, 2018 ,72(2):157-173. (SCI)<br>
[6] Qiang Zhang, Ping Chen. Robust optimal proportional reinsurance and investment strategy for an insurer with defaultable risks and jumps. Journal of Computational and Applied Mathematics, 2019, 356 :46-66. (SCI)<br>
[7] Qiang Zhang, Ping Chen. Multidimensional balanced credibility model with time effect and two level random common effects. Journal of Industrial and Management Optimization,
2020,16(3): 1311-1328. (SCI)<br>
[8] Qiang Zhang, Ping Chen. Optimal Reinsurance and Investment Strategy for an Insurer in a Model with Delay and Jumps. Methodology and Computing in Applied Probability,2020,22: 777-801. (SCI)<br>
[9] Qiang Zhang, Ping Chen. Regression credibility estimator with two-level common effects. Communications in Statistics-
Theory and Methods, 2021, 50(4):910-931 (SCI)
学术任职
其它 职 责

基本信息

  • 姓名:张强性别:男
  • 出生年月:1984.9职称/职务:讲师
  • 导师资格:电话:
  • 联系地址:宁远楼411E-mail:stat0625@nxu.edu.cn
2015年9月至2019年6月 南京理工大学 博士研究生
2009年9月至2012年6月 新疆大学 硕士研究生
2005年9月至2009年7月 新疆农业大学 本科
2012.9-2015.6 石河子大学教学科研
2019.8-至今 澳门太阳集团2020网站教学科研
保险精算与金融数学,代表性研究成果
[1]宁夏高等学校自然科学项目,相依风险模型下的鲁棒最优再保险投资问题研究,主持,在研.
[2]宁夏重点研发项目(引才专项), 一类耦合随机系统的联合最优控制及应用研究,主持,在研.
[1] Qiang Zhang, Qianqian Cui, Ping Chen. Multidimensional credibility estimators with random common effects and time effects. Journal of Systems Science and Complexity, 2017, 30(5): 1107-1120. (SCI)
[2] Qiang Zhang, Lijun Wu, Qianqian Cui.The balanced credibility estimators with correlation risk and inflation factor. Statistical Papers, 2017, 58(3): 659-672. (SCI)
[3] Qiang Zhang, Qianqian Cui, Ping Chen.Time-consistent reinsurance-investment strategy for mean-variance insurers with defaultable security and jumps. Hacettepe Journal of Mathematics and Statistics, 2018, 47(3): 763-781. (SCI)
[4] Qiang Zhang, Ping Chen.Time-consistent mean-variance proportional reinsurance and investment problem in a defaultable market. Optimization, 2018, 67(5): 683-699. (SCI)
[5] Qiang Zhang, Ping Chen. Credibility estimators with dependence structure over risks and time under balanced loss function. Statistica Neerlandica, 2018 ,72(2):157-173. (SCI)
[6] Qiang Zhang, Ping Chen. Robust optimal proportional reinsurance and investment strategy for an insurer with defaultable risks and jumps. Journal of Computational and Applied Mathematics, 2019, 356 :46-66. (SCI)
[7] Qiang Zhang, Ping Chen. Multidimensional balanced credibility model with time effect and two level random common effects. Journal of Industrial and Management Optimization, 2020,16(3): 1311-1328. (SCI)
[8] Qiang Zhang, Ping Chen. Optimal Reinsurance and Investment Strategy for an Insurer in a Model with Delay and Jumps. Methodology and Computing in Applied Probability,2020,22: 777-801. (SCI)
[9] Qiang Zhang, Ping Chen. Regression credibility estimator with two-level common effects. Communications in Statistics- Theory and Methods, 2021, 50(4):910-931 (SCI)
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