Cramér type moderate deviations for self-normalized ψψ-mixing sequences

preprint2019arXivOpen access

Abstract

Let (ηi)i≥1(η_i)_{i\geq1} be a sequence of ψψ-mixing random variables. Let m=⌊nα⌋,0<α<1,k=⌊n/(2m)⌋,m=\lfloor n^α\rfloor, 0< α< 1, k=\lfloor n/(2m) \rfloor, and Yj=∑i=1mηm(j−1)+i,1≤j≤k.Y_j = \sum_{i=1}^m η_{m(j-1)+i}, 1\leq j \leq k. Set Sko=∑j=1kYj S_k^o=\sum_{j=1}^{k } Y_j and [So]k=∑i=1k(Yj)2.[S^o]_k=\sum_{i=1}^{k } (Y_j )^2. We prove a Cramér type moderate deviation expansion for P(Sko/[So]k≥x)\mathbb{P}(S_k^o/\sqrt{[ S^o]_k} \geq x) as n→∞.n\to \infty. Our result is similar to the recent work of Chen\textit{ et al.}\ [Self-normalized Cramér-type moderate deviations under dependence. Ann.\ Statist.\ 2016; \textbf{44}(4): 1593--1617] where the authors established Cramér type moderate deviation expansions for ββ-mixing sequences. Comparing to the result of Chen \textit{et al.}, our results hold for mixing coefficients with polynomial decaying rate and wider ranges of validity.

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