邓勇, 胡亦钧. 基于情景分析的多维拟凸风险统计量[J]. 应用概率统计, 2022, 38(1): 71-85. DOI: 10.3969/j.issn.1001-4268.2022.01.005
引用本文: 邓勇, 胡亦钧. 基于情景分析的多维拟凸风险统计量[J]. 应用概率统计, 2022, 38(1): 71-85. DOI: 10.3969/j.issn.1001-4268.2022.01.005
DENG Yong, HU Yijun. Multivariate Quasiconvex Risk Statistics with Scenario Analysis[J]. Chinese Journal of Applied Probability and Statistics, 2022, 38(1): 71-85. DOI: 10.3969/j.issn.1001-4268.2022.01.005
Citation: DENG Yong, HU Yijun. Multivariate Quasiconvex Risk Statistics with Scenario Analysis[J]. Chinese Journal of Applied Probability and Statistics, 2022, 38(1): 71-85. DOI: 10.3969/j.issn.1001-4268.2022.01.005

基于情景分析的多维拟凸风险统计量

Multivariate Quasiconvex Risk Statistics with Scenario Analysis

  • 摘要: 本文定义了三类特殊的多维风险统计量, 分别是多维共单调拟凸风险统计量、多维拟凸风险统计量和多维经验分布不变拟凸风险统计量,并采用对偶方法给出了它们的表示定理. 本文的结果既是一维拟凸风险统计量的推广,也是多维凸风险统计量的拓展.

     

    Abstract: In this paper, we introduce three new classes of multivariate risk statistics, named multivariate comonotonic quasiconvex risk statistics, multivariate quasiconvex risk statistics and multivariate empirical-law-invariant quasiconvex risk statistics, respectively. Representation results for them are provided by dual method. The results of this paper is not only the generalization of one-dimensional quasiconvex risk statistics, but also the extension of multivariate convex risk statistics.

     

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