Variable bandwidth local maximum likelihood type estimation for diffusion processes

Abstract The method of robust approach is applied to estimate drift function and diffusion function of diffusion processes with discrete-time observations. The proposed method combines the ideas of local linear regression technique and maximum likelihood type estimation technique, so the advantages...

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Main Authors: Ming T. Tang, Yun Y. Wang
Format: Article
Language:English
Published: SpringerOpen 2018-02-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-018-1506-1
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author Ming T. Tang
Yun Y. Wang
author_facet Ming T. Tang
Yun Y. Wang
author_sort Ming T. Tang
collection DOAJ
description Abstract The method of robust approach is applied to estimate drift function and diffusion function of diffusion processes with discrete-time observations. The proposed method combines the ideas of local linear regression technique and maximum likelihood type estimation technique, so the advantages of local linear estimators persist and overcome the disadvantages of least-squares estimator. Moreover, a variable bandwidth instead of a constant bandwidth is considered in the local maximum likelihood type estimators. The consistency and asymptotic normality of the local maximum likelihood type estimators for drift and diffusion functions are developed under some given conditions. We perform a simulation study to evaluate the robust performances of the proposed estimators.
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spelling doaj.art-f6b3f0438889404f963e86d9891186672022-12-21T21:59:04ZengSpringerOpenAdvances in Difference Equations1687-18472018-02-012018112110.1186/s13662-018-1506-1Variable bandwidth local maximum likelihood type estimation for diffusion processesMing T. Tang0Yun Y. Wang1School of Science, Jiangxi University of Science and TechnologySchool of Science, Jiangxi University of Science and TechnologyAbstract The method of robust approach is applied to estimate drift function and diffusion function of diffusion processes with discrete-time observations. The proposed method combines the ideas of local linear regression technique and maximum likelihood type estimation technique, so the advantages of local linear estimators persist and overcome the disadvantages of least-squares estimator. Moreover, a variable bandwidth instead of a constant bandwidth is considered in the local maximum likelihood type estimators. The consistency and asymptotic normality of the local maximum likelihood type estimators for drift and diffusion functions are developed under some given conditions. We perform a simulation study to evaluate the robust performances of the proposed estimators.http://link.springer.com/article/10.1186/s13662-018-1506-1Asymptotic normalityConsistencyRobust estimationStochastic differential equationVariable bandwidth
spellingShingle Ming T. Tang
Yun Y. Wang
Variable bandwidth local maximum likelihood type estimation for diffusion processes
Advances in Difference Equations
Asymptotic normality
Consistency
Robust estimation
Stochastic differential equation
Variable bandwidth
title Variable bandwidth local maximum likelihood type estimation for diffusion processes
title_full Variable bandwidth local maximum likelihood type estimation for diffusion processes
title_fullStr Variable bandwidth local maximum likelihood type estimation for diffusion processes
title_full_unstemmed Variable bandwidth local maximum likelihood type estimation for diffusion processes
title_short Variable bandwidth local maximum likelihood type estimation for diffusion processes
title_sort variable bandwidth local maximum likelihood type estimation for diffusion processes
topic Asymptotic normality
Consistency
Robust estimation
Stochastic differential equation
Variable bandwidth
url http://link.springer.com/article/10.1186/s13662-018-1506-1
work_keys_str_mv AT mingttang variablebandwidthlocalmaximumlikelihoodtypeestimationfordiffusionprocesses
AT yunywang variablebandwidthlocalmaximumlikelihoodtypeestimationfordiffusionprocesses