The de Finetti structure behind some norm-symmetric multivariate densities with exponential decay

被引:1
|
作者
Mai, Jan-Frederik [1 ]
机构
[1] XAIA Investment GmbH, Sonnenstr 19, D-80331 Munich, Germany
来源
DEPENDENCE MODELING | 2020年 / 8卷 / 01期
关键词
infinite divisibility; Levy subordinator; de Finetti's theorem; exchangeability; min-stable multi-variate exponential distribution; SPECTRAL REPRESENTATION; DISTRIBUTIONS; RELIABILITY; SYSTEMS;
D O I
10.1515/demo-2020-0012
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We derive a sufficient condition on the symmetric norm parallel to center dot parallel to such that the probability distribution associated with the density function f(x) proportional to exp(-lambda parallel to x parallel to) is conditionally independent and identically distributed in the sense of de Finetti's seminal theorem. The criterion is mild enough to comprise the l(p)-norms as special cases, in which f is shown to correspond to a polynomially tilted stable mixture of products of transformed Gamma densities. In another special case of interest f equals the density of a time-homogeneous load sharing model, popular in reliability theory, whose motivation is a priori unrelated to the concept of conditional independence. The de Finetti structure reveals a surprising link between time-homogeneous load sharing models and the concept of Levy subordinators.
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页码:210 / 220
页数:11
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