The maximum likelihood type estimator of SDEs with fractional Brownian motion under small noise asymptotics in the rough case

Fuente: arXiv
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Autor principal: Nakajima, Shohei
Formato: Preprint
Publicado: 2024
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author Nakajima, Shohei
author_facet Nakajima, Shohei
contents We study the problem of parametric estimation for continuously observed stochastic differential equation driven by fractional Brownian motion. Under some assumptions on drift and diffusion coefficients, we construct maximum likelihood estimator and establish its the asymptotic normality and moment convergence of the drift parameter when a small dispersion coefficient vanishes.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07804
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The maximum likelihood type estimator of SDEs with fractional Brownian motion under small noise asymptotics in the rough case
Nakajima, Shohei
Statistics Theory
Probability
We study the problem of parametric estimation for continuously observed stochastic differential equation driven by fractional Brownian motion. Under some assumptions on drift and diffusion coefficients, we construct maximum likelihood estimator and establish its the asymptotic normality and moment convergence of the drift parameter when a small dispersion coefficient vanishes.
title The maximum likelihood type estimator of SDEs with fractional Brownian motion under small noise asymptotics in the rough case
topic Statistics Theory
Probability
url https://arxiv.org/abs/2406.07804