Functional Central Limit Theorem via Nonstationary Projective Conditions

Abstract

In this paper we survey some recent progress on the Gaussian approximation for nonstationary dependent structures via martingale methods. First we present general theorems involving projective conditions for triangular arrays of random variables and then present various applications for rho-mixing and alpha-dependent triangular arrays, stationary sequences in a random time scenery, application to the quenched FCLT, application to linear statistics with alpha-dependent innovations, application to functions of a triangular stationary Markov chain.