A quenched invariance principle for stationary processes
Christophe Cuny, Dalibor Volny

TL;DR
This paper establishes a quenched invariance principle for stationary processes under the Hannan condition, providing a new perspective by representing these processes as functionals of Markov chains.
Contribution
It introduces a conditionally centered quenched invariance principle and a novel construction linking stationary processes to Markov chains.
Findings
Proves a quenched weak invariance principle under the Hannan condition
Provides a new construction of stationary processes as Markov chain functionals
Enhances understanding of the structure of stationary processes
Abstract
In this note, we prove a conditionally centered version of the quenched weak invariance principle under the Hannan condition, for stationary processes. In the course, we obtain a (new) construction of the fact that any stationary process may be seen as a functional of a Markov chain.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals
