Journal of the Japan Statistical Society, Japanese Issue
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
Special Section: Theories and Applications of Extremes and Copulas
Minimum Information Copulas and Related Topics
Tomonari Sei
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2021 Volume 51 Issue 1 Pages 75-99

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Abstract

A minimum information copula is a copula that is closest to the independent one under given moment restrictions. The obtained class is interpreted as a copula version of exponential families and is mathematically of interest. In this paper, we review the definition and fundamental properties together with concrete examples. In particular, we overview its relationship with information geometry, matrix scaling and optimal transport theoryvia discrete approximation of copulas. Estimation methods of parameters are also discussed.

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