Convex comparison of Gaussian mixtures
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.
Authors
- Gilles Pagès (ORCID: https://orcid.org/0000-0001-6487-3079)
- Benjamin Jourdain
Institutions
- CERMICS (FR)
- Laboratoire de Probabilités et Modèles Aléatoires (FR)
- Laboratoire de Probabilités, Statistique et Modélisation (FR)
Publication Details
- Journal
- Journal of Multivariate Analysis
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1016/j.jmva.2025.105448
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fondation du Risque