Sample-path large deviations for a class of heavy-tailed Markov additive processes

Fuente: arXiv
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Main Authors: Chen, Bohan, Rhee, Chang-Han, Zwart, Bert
Format: Preprint
Published: 2020
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author Chen, Bohan
Rhee, Chang-Han
Zwart, Bert
author_facet Chen, Bohan
Rhee, Chang-Han
Zwart, Bert
contents For a class of additive processes driven by the affine recursion $X_{n+1} = A_n X_n + B_n$, we develop a sample-path large deviations principle in the $M_1'$ topology on $D [0,1]$. We allow $B_n$ to have both signs and focus on the case where Kesten's condition holds on $A_1$, leading to heavy-tailed distributions. The most likely paths in our large deviations results are step functions with both positive and negative jumps.
format Preprint
id arxiv_https___arxiv_org_abs_2010_10751
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Sample-path large deviations for a class of heavy-tailed Markov additive processes
Chen, Bohan
Rhee, Chang-Han
Zwart, Bert
Probability
For a class of additive processes driven by the affine recursion $X_{n+1} = A_n X_n + B_n$, we develop a sample-path large deviations principle in the $M_1'$ topology on $D [0,1]$. We allow $B_n$ to have both signs and focus on the case where Kesten's condition holds on $A_1$, leading to heavy-tailed distributions. The most likely paths in our large deviations results are step functions with both positive and negative jumps.
title Sample-path large deviations for a class of heavy-tailed Markov additive processes
topic Probability
url https://arxiv.org/abs/2010.10751