Using Stein's Method to Analyze Euler-Maruyama Approximations of Regime-Switching Jump Diffusion Processes

被引:3
作者
Jin, Xinghu [1 ]
Shen, Tian [2 ]
Su, Zhonggen [2 ]
机构
[1] Hefei Univ Technol, Sch Math, Hefei, Anhui, Peoples R China
[2] Zhejiang Univ, Sch Math Sci, Hangzhou, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Euler-Maruyama scheme; Jacobi flow; Markovian switching; Poisson process; Stein's equation; STOCHASTIC DIFFERENTIAL-EQUATIONS; EXPONENTIAL ERGODICITY; MARKOVIAN PROCESSES; NUMERICAL-SOLUTIONS; INVARIANT-MEASURES; SDES DRIVEN; STABILITY; CRITERIA; CONVERGENCE; FELLER;
D O I
10.1007/s10959-022-01221-w
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For a kind of regime-switching jump diffusion process (X-t, Z(t))(t >= 0), under some conditions, it is exponentially ergodic under the weighted total variation distance with ergodic measure mu. We use the Euler-Maruyama scheme of the process (X-t, Z(t))(t >= 0) which has an ergodic measure mu(eta) (eta is the step size of the Euler-Maruyama scheme) to approximate the ergodic measure mu. Furthermore, we use Stein's method to prove that the convergence rate of mu(eta) to mu is eta(1/2) in terms of some function-class distance dG(mu, mu(eta)).
引用
收藏
页码:1797 / 1828
页数:32
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