Estimates of the accuracy of asymptotic probability models
Irina Shevtsova
TL;DR
This paper discusses the convergence rates in limit theorems for sums of independent random variables, providing insights into the accuracy of asymptotic probability models.
Contribution
It offers new estimates for the convergence rates, enhancing understanding of the accuracy of asymptotic models in probability theory.
Findings
Derived bounds for convergence rates in limit theorems
Improved accuracy estimates for asymptotic probability models
Applicable to sums of independent random variables
Abstract
Convergence rate estimates in limit theorems for sums of independent random variables are considered.
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Taxonomy
Topicsadvanced mathematical theories · Probability and Risk Models · Bayesian Methods and Mixture Models