Suficient conditions of standardness for filtrations of stationary processes taking values in a finite space

Abstract

Let $X$ be a stationary process with finite state-space $A$. Bressaud et al. recently provided a sufficient condition for the natural filtration of $X$ to be standard when $A$ has size 2. Their condition involves the conditional laws $p(\cdot |x)$ of $X_0$ conditionally on the whole past $(X_k{)}_{k\le -1}=x$ and controls the strength of the influence of the "old" past of the process on its present $X_0$. It involves the maximal gaps between $p(\cdot |x)$ and $p(\cdot |y)$ for infinite sequences $x$ and $y$ which coincide on their $n$ last terms. In this paper, we first show that a slightly stronger result holds for any finite state-space. Then, we provide sufficient conditions for standardness based on average gaps instead of maximal gaps.

References in corpus (1)

• Stochastic chains with memory of variable length