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Main Authors: Donnart, Titouan, Simon, Thomas
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.05670
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author Donnart, Titouan
Simon, Thomas
author_facet Donnart, Titouan
Simon, Thomas
contents We consider the persistence probabilities of an autoregressive chain of order one with continuous innovations. In the case of positive drifts, we show that these persistence probabilities are compound-geometric and satisfy a Baxter-Spitzer factorization generalizing that of the random walk. In the case of negative drifts, we exhibit a discrete Van Dantzig problem, which implies that the Baxter-Spitzer factorization never happens, except in a degenerate case. For positive drifts and log-concave innovations, we show that the first passage time in $(-\infty,0)$ has a log-convex distribution, whereas in the case of negative drifts and log-convex innovations on ${\mathbb R}^+$, it has a log-concave distribution. The case of the bi-exponential innovations is studied in detail, which leads for positive drifts to an additive factorization of the exponential law.
format Preprint
id arxiv_https___arxiv_org_abs_2604_05670
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Persistence probabilities of autoregressive chains with continuous innovations
Donnart, Titouan
Simon, Thomas
Probability
We consider the persistence probabilities of an autoregressive chain of order one with continuous innovations. In the case of positive drifts, we show that these persistence probabilities are compound-geometric and satisfy a Baxter-Spitzer factorization generalizing that of the random walk. In the case of negative drifts, we exhibit a discrete Van Dantzig problem, which implies that the Baxter-Spitzer factorization never happens, except in a degenerate case. For positive drifts and log-concave innovations, we show that the first passage time in $(-\infty,0)$ has a log-convex distribution, whereas in the case of negative drifts and log-convex innovations on ${\mathbb R}^+$, it has a log-concave distribution. The case of the bi-exponential innovations is studied in detail, which leads for positive drifts to an additive factorization of the exponential law.
title Persistence probabilities of autoregressive chains with continuous innovations
topic Probability
url https://arxiv.org/abs/2604.05670