L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise

This paper is concerned with $ L_{\infty} $-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise. By applying the Gronwall-Bellman lemma, Chebyshev's inequality and Taylor's formula, the minimum distance estimator is established and t...

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Main Authors: Huiping Jiao, Xiao Zhang, Chao Wei
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023107?viewType=HTML
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author Huiping Jiao
Xiao Zhang
Chao Wei
author_facet Huiping Jiao
Xiao Zhang
Chao Wei
author_sort Huiping Jiao
collection DOAJ
description This paper is concerned with $ L_{\infty} $-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise. By applying the Gronwall-Bellman lemma, Chebyshev's inequality and Taylor's formula, the minimum distance estimator is established and the consistency and asymptotic distribution of the estimator are derived when a small dispersion coefficient $ \varepsilon\rightarrow 0 $.
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spelling doaj.art-ee664bc265ef42029f7efba781bb6d482022-12-22T04:11:29ZengAIMS PressAIMS Mathematics2473-69882023-01-01812083209210.3934/math.2023107L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noiseHuiping Jiao0Xiao Zhang1Chao Wei 21. School of Basic Science, Zhengzhou University of Technology, Zhengzhou 450044, China2. School of Marxism, Anyang Normal University, Anyang 455000, China3. School of Mathematics and Statistics, Anyang Normal University, Anyang 455000, ChinaThis paper is concerned with $ L_{\infty} $-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise. By applying the Gronwall-Bellman lemma, Chebyshev's inequality and Taylor's formula, the minimum distance estimator is established and the consistency and asymptotic distribution of the estimator are derived when a small dispersion coefficient $ \varepsilon\rightarrow 0 $.https://www.aimspress.com/article/doi/10.3934/math.2023107?viewType=HTMLl<sub>∞</sub>-norm minimum distance estimationstochastic differential equationssmall fractional lévy noiseconsistencyasymptotic distribution
spellingShingle Huiping Jiao
Xiao Zhang
Chao Wei
L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
AIMS Mathematics
l<sub>∞</sub>-norm minimum distance estimation
stochastic differential equations
small fractional lévy noise
consistency
asymptotic distribution
title L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
title_full L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
title_fullStr L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
title_full_unstemmed L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
title_short L<sub>∞</sub>-norm minimum distance estimation for stochastic differential equations driven by small fractional Lévy noise
title_sort l sub ∞ sub norm minimum distance estimation for stochastic differential equations driven by small fractional levy noise
topic l<sub>∞</sub>-norm minimum distance estimation
stochastic differential equations
small fractional lévy noise
consistency
asymptotic distribution
url https://www.aimspress.com/article/doi/10.3934/math.2023107?viewType=HTML
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AT xiaozhang lsubsubnormminimumdistanceestimationforstochasticdifferentialequationsdrivenbysmallfractionallevynoise
AT chaowei lsubsubnormminimumdistanceestimationforstochasticdifferentialequationsdrivenbysmallfractionallevynoise