Irregular sets and Central Limit Theorems for dependent triangular arrays

Abstract

In previous papers, we studied the asymptotic behaviour of $S_N(A,X)=(2N+1)^{-d/2}\sum_{n \in A_N} X_n,$ where $X$ is a centered, stationary and weakly dependent random field, and $A_N=A \cap [-N,N]^d$, $A \subset \mathbb{Z}^d$. This leads to the definition of asymptotically measurable sets, which enjoy the property that $S_N(A;X)$ has a Gaussian weak limit for any $X$ belonging to a certain class. Here we extend this type of results to the case of weakly dependent triangular arrays and present an application of this technique to regression models. Indeed, we prove that CLT and related results hold for $X_n^N=φ(ξ_n^N,Y_n^N), n \in \mathbb{Z}^d$, where $φ$ satisfies certain regularity conditions, $ξ$ and $Y$ are independent random fields, $ξ$ is weakly dependent and $Y$ satisfies some Strong Law of Large Numbers.