Parameter estimation in mixed fractional stochastic heat equation

The paper is devoted to a stochastic heat equation with a mixed fractional Brownian noise. We investigate the covariance structure, stationarity, upper bounds and asymptotic behavior of the solution. Based on its discrete-time observations, we construct a strongly consistent estimator for the Hurst...

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Main Authors: Diana Avetisian, Kostiantyn Ralchenko
Format: Article
Language:English
Published: VTeX 2023-01-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Online Access:https://www.vmsta.org/doi/10.15559/23-VMSTA221
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author Diana Avetisian
Kostiantyn Ralchenko
author_facet Diana Avetisian
Kostiantyn Ralchenko
author_sort Diana Avetisian
collection DOAJ
description The paper is devoted to a stochastic heat equation with a mixed fractional Brownian noise. We investigate the covariance structure, stationarity, upper bounds and asymptotic behavior of the solution. Based on its discrete-time observations, we construct a strongly consistent estimator for the Hurst index H and prove the asymptotic normality for $H. Then assuming the parameter H to be known, we deal with joint estimation of the coefficients at the Wiener process and at the fractional Brownian motion. The quality of estimators is illustrated by simulation experiments.
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spelling doaj.art-0521d7360a0f45dfb646de7596d665ff2023-04-03T11:01:08ZengVTeXModern Stochastics: Theory and Applications2351-60462351-60542023-01-0110217519510.15559/23-VMSTA221Parameter estimation in mixed fractional stochastic heat equationDiana Avetisian0Kostiantyn Ralchenko1Department of Probability Theory, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrska 64, 01601 Kyiv, UkraineDepartment of Probability Theory, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrska 64, 01601 Kyiv, Ukraine; Sydney Mathematical Research Institute, The University of Sydney, Sydney NSW 2006, AustraliaThe paper is devoted to a stochastic heat equation with a mixed fractional Brownian noise. We investigate the covariance structure, stationarity, upper bounds and asymptotic behavior of the solution. Based on its discrete-time observations, we construct a strongly consistent estimator for the Hurst index H and prove the asymptotic normality for $H. Then assuming the parameter H to be known, we deal with joint estimation of the coefficients at the Wiener process and at the fractional Brownian motion. The quality of estimators is illustrated by simulation experiments.https://www.vmsta.org/doi/10.15559/23-VMSTA221Stochastic partial differential equationmixed fractional Brownian motionHurst index estimationstrong consistencyAsymptotic normality
spellingShingle Diana Avetisian
Kostiantyn Ralchenko
Parameter estimation in mixed fractional stochastic heat equation
Modern Stochastics: Theory and Applications
Stochastic partial differential equation
mixed fractional Brownian motion
Hurst index estimation
strong consistency
Asymptotic normality
title Parameter estimation in mixed fractional stochastic heat equation
title_full Parameter estimation in mixed fractional stochastic heat equation
title_fullStr Parameter estimation in mixed fractional stochastic heat equation
title_full_unstemmed Parameter estimation in mixed fractional stochastic heat equation
title_short Parameter estimation in mixed fractional stochastic heat equation
title_sort parameter estimation in mixed fractional stochastic heat equation
topic Stochastic partial differential equation
mixed fractional Brownian motion
Hurst index estimation
strong consistency
Asymptotic normality
url https://www.vmsta.org/doi/10.15559/23-VMSTA221
work_keys_str_mv AT dianaavetisian parameterestimationinmixedfractionalstochasticheatequation
AT kostiantynralchenko parameterestimationinmixedfractionalstochasticheatequation