Poisson Approximation to Weighted Sums of Locally Dependent Random Variables
Pratima Eknath Kadu

TL;DR
This paper improves Poisson approximation techniques for weighted sums of locally dependent random variables using Stein's method, offering enhanced accuracy and practical numerical comparisons.
Contribution
It presents a significantly improved Poisson approximation result for weighted sums of locally dependent variables using Stein's method.
Findings
Enhanced approximation accuracy demonstrated
Numerical comparisons validate the theoretical improvements
Applicable to complex dependent structures
Abstract
This paper deals with Poisson approximation to weighted sums of locally dependent random variables using Stein's method. The derived result represents a significant improvement of existing results. To illustrate the effectiveness of our findings, a numerical comparison is provided.
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Taxonomy
TopicsRandom Matrices and Applications · Probability and Risk Models · Stochastic processes and statistical mechanics
