A generalization of random self-decomposability
S Satheesh, E Sandhya

TL;DR
This paper generalizes the concept of random self-decomposability, explores its connections to other distribution classes, and extends it to discrete distributions, providing a broader framework for probabilistic modeling.
Contribution
It introduces a generalized form of random self-decomposability, linking it to self-decomposability, Harris infinite divisibility, and autoregressive models, extending the concept to discrete distributions.
Findings
Established a generalized framework for random self-decomposability.
Connected the generalized notion to self-decomposability and Harris infinite divisibility.
Extended the concept to distributions on non-negative integers.
Abstract
The notion of random self-decomposability is generalized here. Its relation to self-decomposability, Harris infinite divisibility and its connection with a stationary first order generalized autoregressive model are presented. The notion is then extended to -valued distributions.
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
TopicsStatistical Distribution Estimation and Applications · Fuzzy Systems and Optimization · Probability and Risk Models
