A quenched weak invariance principle
classification
🧮 math.PR
keywords
almostapplicationsapproximationcentralchainsclassconditionalcriterion
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In this paper we study the almost sure conditional central limit theorem in its functional form for a class of random variables satisfying a projective criterion. Applications to strongly mixing processes and non irreducible Markov chains are given. The proofs are based on the normal approximation of double indexed martingale-like sequences, a theory which has interest in itself.
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