Lp-norm spherical copulas

IF 1.4 3区 数学 Q2 STATISTICS & PROBABILITY Journal of Multivariate Analysis Pub Date : 2023-11-29 DOI:10.1016/j.jmva.2023.105262
Carole Bernard , Alfred Müller , Marco Oesting
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引用次数: 0

Abstract

In this paper we study Lp-norm spherical copulas for arbitrary p[1,] and arbitrary dimensions. The study is motivated by a conjecture that these distributions lead to a sharp bound for the value of a certain generalized mean difference. We fully characterize conditions for existence and uniqueness of Lp-norm spherical copulas. Explicit formulas for their densities and correlation coefficients are derived and the distribution of the radial part is determined. Moreover, statistical inference and efficient simulation are considered.

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lp范数球面联
本文研究了任意p∈[1,∞]和任意维数的lp范数球面copuls。这项研究的动机是一个猜想,即这些分布导致某个广义平均差的值有一个明显的界。充分刻画了lp -范数球面copula的存在唯一性条件。导出了它们的密度和相关系数的显式公式,并确定了径向部分的分布。此外,还考虑了统计推理和高效仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Multivariate Analysis
Journal of Multivariate Analysis 数学-统计学与概率论
CiteScore
2.40
自引率
25.00%
发文量
108
审稿时长
74 days
期刊介绍: Founded in 1971, the Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly innovative applications pertaining to the analysis and interpretation of multidimensional data. The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including cluster analysis, discriminant analysis, factor analysis, and multidimensional continuous or discrete distribution theory. Topics of current interest include, but are not limited to, inferential aspects of Copula modeling Functional data analysis Graphical modeling High-dimensional data analysis Image analysis Multivariate extreme-value theory Sparse modeling Spatial statistics.
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