Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises

Fuente: arXiv
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Main Authors: Lillo, Fabrizio, Marmi, Stefano, Tanzi, Matteo, Vaienti, Sandro
Format: Preprint
Published: 2024
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author Lillo, Fabrizio
Marmi, Stefano
Tanzi, Matteo
Vaienti, Sandro
author_facet Lillo, Fabrizio
Marmi, Stefano
Tanzi, Matteo
Vaienti, Sandro
contents We propose a theory of unimodal maps perturbed by an heteroscedastic Markov chain noise and experiencing another heteroscedastic noise due to uncertain observation. We address and treat the filtering problem showing that by collecting more and more observations, one would predict the same distribution for the state of the underlying Markov chain no matter one's initial guess. Moreover we give other limit theorems, emphasizing in particular concentration inequalities and extreme value and Poisson distributions. Our results apply to a family of maps arising from a model of systemic risk in finance.
format Preprint
id arxiv_https___arxiv_org_abs_2411_13939
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises
Lillo, Fabrizio
Marmi, Stefano
Tanzi, Matteo
Vaienti, Sandro
Statistics Theory
Dynamical Systems
Probability
We propose a theory of unimodal maps perturbed by an heteroscedastic Markov chain noise and experiencing another heteroscedastic noise due to uncertain observation. We address and treat the filtering problem showing that by collecting more and more observations, one would predict the same distribution for the state of the underlying Markov chain no matter one's initial guess. Moreover we give other limit theorems, emphasizing in particular concentration inequalities and extreme value and Poisson distributions. Our results apply to a family of maps arising from a model of systemic risk in finance.
title Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises
topic Statistics Theory
Dynamical Systems
Probability
url https://arxiv.org/abs/2411.13939