Density convergence in the Breuer-Major theorem for Gaussian stationary sequences

preprint2015arXivOpen access

Abstract

Consider a Gaussian stationary sequence with unit variance X={Xk;k∈N∪{0}}X=\{X_k;k\in {\mathbb{N}}\cup\{0\}\}. Assume that the central limit theorem holds for a weighted sum of the form Vn=n−1/2∑k=0n−1f(Xk)V_n=n^{-1/2}\sum^{n-1}_{k=0}f(X_k), where ff designates a finite sum of Hermite polynomials. Then we prove that the uniform convergence of the density of VnV_n towards the standard Gaussian density also holds true, under a mild additional assumption involving the causal representation of XX.

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