Parameter Estimation for multi-mixed Fractional Ornstein--Uhlenbeck Processes by Generalized Method of Moments

Fuente: arXiv
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Autori principali: Almani, Hamidreza Maleki, Sottinen, Tommi
Natura: Preprint
Pubblicazione: 2024
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author Almani, Hamidreza Maleki
Sottinen, Tommi
author_facet Almani, Hamidreza Maleki
Sottinen, Tommi
contents We develop the generalized method of moments (GMM) estimation for the parameters of the finitely mixed multi-mixed fractional Ornstein--Uhlenbeck (mmfOU) processes, and analyze the consistency and asymptotic normality of this estimator. We also include some simulations and provide numerical observations considering different statistical errors.
format Preprint
id arxiv_https___arxiv_org_abs_2401_05114
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parameter Estimation for multi-mixed Fractional Ornstein--Uhlenbeck Processes by Generalized Method of Moments
Almani, Hamidreza Maleki
Sottinen, Tommi
Statistics Theory
Probability
60G10, 60G15, 60G22, 62M09
G.3
We develop the generalized method of moments (GMM) estimation for the parameters of the finitely mixed multi-mixed fractional Ornstein--Uhlenbeck (mmfOU) processes, and analyze the consistency and asymptotic normality of this estimator. We also include some simulations and provide numerical observations considering different statistical errors.
title Parameter Estimation for multi-mixed Fractional Ornstein--Uhlenbeck Processes by Generalized Method of Moments
topic Statistics Theory
Probability
60G10, 60G15, 60G22, 62M09
G.3
url https://arxiv.org/abs/2401.05114