Tails of Polynomials of Random Variables and Stable Limits for Nonconventional Sums
Yuri Kifer, S.R.S. Varadhan

TL;DR
This paper investigates the tail behavior of polynomials of independent heavy-tailed random variables and establishes stable limit theorems for nonconventional sums involving these polynomials.
Contribution
It provides new decay rate estimates for tail probabilities and proves stable limit theorems for sums of polynomial functions of heavy-tailed variables.
Findings
Decay rates for tail probabilities of polynomial functions
Stable limit theorems for nonconventional sums
Applicable to heavy-tailed independent random variables
Abstract
We obtain decay rates of probabilities of tails of polynomials in several independent random variables with heavy tails and derive stable limit theorems for nonconventional sums of such polynomials
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.
