The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
Abstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then,...
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2020-11-01
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Online Access: | https://doi.org/10.1186/s13662-020-03129-3 |
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doaj-58e90f7d1ad54247bbb1bdb4d10201912020-11-29T12:20:28ZengSpringerOpenAdvances in Difference Equations1687-18472020-11-012020112510.1186/s13662-020-03129-3The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switchingYanan Jiang0Liangjian Hu1Jianqiu Lu2College of Information Science and Technology, Donghua UniversityDepartment of Statistics, Donghua UniversityDepartment of Statistics, Donghua UniversityAbstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then, the convergence of numerical stationary distribution to the underlying one is discussed. Numerical simulations are conducted to support the theoretical results.https://doi.org/10.1186/s13662-020-03129-3Stochastic θ methodSDEs with Markovian switchingNumerical solutionsStationary distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yanan Jiang Liangjian Hu Jianqiu Lu |
spellingShingle |
Yanan Jiang Liangjian Hu Jianqiu Lu The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching Advances in Difference Equations Stochastic θ method SDEs with Markovian switching Numerical solutions Stationary distribution |
author_facet |
Yanan Jiang Liangjian Hu Jianqiu Lu |
author_sort |
Yanan Jiang |
title |
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching |
title_short |
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching |
title_full |
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching |
title_fullStr |
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching |
title_full_unstemmed |
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching |
title_sort |
stochastic θ method for stationary distribution of stochastic differential equations with markovian switching |
publisher |
SpringerOpen |
series |
Advances in Difference Equations |
issn |
1687-1847 |
publishDate |
2020-11-01 |
description |
Abstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then, the convergence of numerical stationary distribution to the underlying one is discussed. Numerical simulations are conducted to support the theoretical results. |
topic |
Stochastic θ method SDEs with Markovian switching Numerical solutions Stationary distribution |
url |
https://doi.org/10.1186/s13662-020-03129-3 |
work_keys_str_mv |
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1724412001983135744 |