Multivariate Bertino copulas

被引:7
|
作者
Garcia, J. J. Arias [1 ]
De Meyer, H. [2 ]
De Baets, B. [1 ]
机构
[1] Univ Ghent, Dept Math Modelling Stat & Bioinformat, KERMIT, Coupure Links 653, B-9000 Ghent, Belgium
[2] Univ Ghent, Dept Appl Math Comp Sci & Stat, Krijgslaan 281 S9, B-9000 Ghent, Belgium
关键词
Bertino copula; Copula; Diagonal function; Diagonal section; Lipschitz continuity; n-Copula; QUASI-COPULAS;
D O I
10.1016/j.jmaa.2015.09.059
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper provides a partial answer to an open problem recently posed by R. Mesiar and J. Kalicka regarding the existence of an n-dimensional Bertino copula with a given diagonal section for any n >= 2. It is known that for any 2-diagonal function, there exists a 2-dimensional Bertino copula that has the given 2-diagonal function as diagonal section. In the present paper, we introduce the notion of a regular n-diagonal function and we characterise for any n >= 3 the sets D-n of regular n-diagonal functions for which there exists an n-dimensional Bertino copula whose diagonal section coincides with the given n-diagonal function. We prove that D-n+1 is strictly included in D-n, for all n >= 2, and that D-n is the set of all increasing n/(n - 1)-Lipschitz continuous n-diagonal functions. As a by-product, we show that all marginal copulas of an n-dimensional Bertino copula are Bertino copulas themselves. Examples are given to illustrate the construction of an n-dimensional Bertino copula with a given diagonal section and the characterisation of the sets D-n. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:1346 / 1364
页数:19
相关论文
共 50 条
  • [41] A multivariate model of sea storms using copulas
    De Michele, C.
    Salvadori, G.
    Passoni, G.
    Vezzoli, R.
    COASTAL ENGINEERING, 2007, 54 (10) : 734 - 751
  • [42] Supermodular dependence ordering on a class of multivariate copulas
    Wei, G
    Hu, TH
    STATISTICS & PROBABILITY LETTERS, 2002, 57 (04) : 375 - 385
  • [43] CONSTRUCTION OF MULTIVARIATE COPULAS IN N-BOXES
    Gonzalez-Barrios, Jose M.
    Hernandez-Cedillo, Maria M.
    KYBERNETIKA, 2013, 49 (01) : 73 - 95
  • [44] Multivariate modelling of spatial extremes based on copulas
    Chan, Raymond K. S.
    So, Mike K. P.
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2018, 88 (12) : 2404 - 2424
  • [45] Quadratic Transformations of Multivariate Semi-Copulas
    Boonmee, Prakassawat
    Chanthorn, Pharunyou
    THAI JOURNAL OF MATHEMATICS, 2020, 18 (04): : 1917 - 1931
  • [46] Evolution of multivariate copulas in continuous and discrete processes
    Yoshizawa, Yasukazu
    Ishimura, Naoyuki
    INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2018, 25 (01): : 44 - 59
  • [47] Nonparametric estimation of multivariate multiparameter conditional copulas
    Jin-Guan Lin
    Kong-Sheng Zhang
    Yan-Yong Zhao
    Journal of the Korean Statistical Society, 2017, 46 : 126 - 136
  • [48] The uncertainty associated with the use of copulas in multivariate analysis
    Zhou, Changrang
    van Nooijen, Ronald
    Kolechkina, Alla
    Gargouri, Emna
    Slama, Fairouz
    van de Giesen, Nick
    HYDROLOGICAL SCIENCES JOURNAL, 2023, 68 (15) : 2169 - 2188
  • [49] On a Rosenblatt-type transformation of multivariate copulas
    Savinov, Evgeniy
    Shamraeva, Victoria
    ECONOMETRICS AND STATISTICS, 2023, 25 : 39 - 48
  • [50] Frank's condition for multivariate Archimedean copulas
    Erdely, Arturo
    Gonzalez-Barrios, Jose M.
    Hernandez-Cedillo, Maria M.
    FUZZY SETS AND SYSTEMS, 2014, 240 : 131 - 136