Convex comparison of Gaussian mixtures

Fuente: arXiv
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Auteurs principaux: Jourdain, Benjamin, Pagès, Gilles
Format: Preprint
Publié: 2024
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author Jourdain, Benjamin
Pagès, Gilles
author_facet Jourdain, Benjamin
Pagès, Gilles
contents Motivated by the study of the propagation of convexity by semi-groups of stochastic differential equations and convex comparison between the distributions of solutions of two such equations, we study the comparison for the convex order between a Gaussian distribution and a Gaussian mixture. We give and discuss intrinsic necessary and sufficient conditions for convex ordering. On the examples that we have worked out, the two conditions appear to be closely related.
format Preprint
id arxiv_https___arxiv_org_abs_2410_07958
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Convex comparison of Gaussian mixtures
Jourdain, Benjamin
Pagès, Gilles
Probability
Motivated by the study of the propagation of convexity by semi-groups of stochastic differential equations and convex comparison between the distributions of solutions of two such equations, we study the comparison for the convex order between a Gaussian distribution and a Gaussian mixture. We give and discuss intrinsic necessary and sufficient conditions for convex ordering. On the examples that we have worked out, the two conditions appear to be closely related.
title Convex comparison of Gaussian mixtures
topic Probability
url https://arxiv.org/abs/2410.07958