Relative Error of Scaled Poisson Approximation via Stein's Method
Yue Tan, Yingdong Lu, Cathy Xia

TL;DR
This paper investigates the accuracy of scaled Poisson approximations for weighted sums of independent Poisson variables, especially in tail distributions, by deriving bounds using a modified Stein-Chen method.
Contribution
It introduces a bound on the relative error of scaled Poisson approximation for tail probabilities using a novel Stein-Chen approach.
Findings
Established a bound on the relative approximation error.
Focused on tail distribution accuracy.
Applied a modified Stein-Chen method.
Abstract
We study the accuracy of a scaled Poisson approximation to the weighted sum of independent Poisson random variables, focusing on in particular the relative error of the tail distribution. A bound on the relative approximation error is established using a modified Stein-Chen method.
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
TopicsElectromagnetic Scattering and Analysis · Mathematical functions and polynomials · Matrix Theory and Algorithms
