A Berry-Esseen theorem for sample quantiles under association
L. Douge

TL;DR
This paper establishes a Berry-Esseen type theorem for sample quantiles of associated random variables, providing rates of normal approximation depending on covariance decay rates.
Contribution
It extends the Berry-Esseen theorem to associated variables, detailing how covariance decay influences the rate of convergence for sample quantiles.
Findings
Normal approximation rate is $O(n^{-1/2}\log^2 n)$ with exponential covariance decay.
Rate improves to $O(n^{-1/3})$ under polynomial covariance decay.
Provides theoretical bounds for the distribution of sample quantiles in dependent data.
Abstract
In this paper, the uniformly asymptotic normality for sample quantiles of associated random variables is investigated under some conditions on the decay of the covariances. We obtain the rate of normal approximation of order if the covariances decrease exponentially to . The best rate is shown as under a polynomial decay of the covariances.
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Taxonomy
TopicsProbability and Risk Models · Financial Risk and Volatility Modeling · Stochastic processes and financial applications
