Illustration par quelques exemples des lois strictement stables dans un c\^one convexe
Shuyan Liu

TL;DR
This paper explores the generalization of stability of random variables within convex cones, presenting examples of stable distributions and their relation to Poisson processes, extending classical results to this geometric setting.
Contribution
It introduces new examples of strictly stable and max-stable distributions in convex cones, highlighting differences from classical Banach space results and linking Poisson processes to these distributions.
Findings
Examples of strictly stable distributions in convex cones
Relationship between Poisson processes and stable distributions
Extension of stability concepts beyond Banach spaces
Abstract
The stability of random variables can be generalized in any convex cone. In this case the principal results about the LePage representation and the domains of attraction are analogous but different to those well known for general Banach spaces. Some examples of strictly stable distributions and max-stable distributions are presented in this paper in order to exhibit the relationship between the Poisson process and the stable distributions on convex cones.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Probability and Risk Models
