A Multi-level Monte Carlo Simulation for Invariant Distribution of Markovian Switching Lévy-Driven SDEs with Super-Linearly Growth Coefficients

This paper concerns the numerical approximation for the invariant distribution of Markovian switching Lévy-driven stochastic differential equations. By combining the tamed-adaptive Euler-Maruyama scheme with the Multi-level Monte Carlo method, we propose an approximation scheme that can be applied t...

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Veröffentlicht in:Methodology and computing in applied probability Jg. 27; H. 4; S. 79
Hauptverfasser: Nguyen, Hoang-Viet, Kieu, Trung-Thuy, Luong, Duc-Trong, Ngo, Hoang-Long, Tran, Ngoc Khue
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2025
Springer Nature B.V
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ISSN:1387-5841, 1573-7713
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Abstract This paper concerns the numerical approximation for the invariant distribution of Markovian switching Lévy-driven stochastic differential equations. By combining the tamed-adaptive Euler-Maruyama scheme with the Multi-level Monte Carlo method, we propose an approximation scheme that can be applied to stochastic differential equations with super-linear growth drift and diffusion coefficients.
AbstractList This paper concerns the numerical approximation for the invariant distribution of Markovian switching Lévy-driven stochastic differential equations. By combining the tamed-adaptive Euler-Maruyama scheme with the Multi-level Monte Carlo method, we propose an approximation scheme that can be applied to stochastic differential equations with super-linear growth drift and diffusion coefficients.
ArticleNumber 79
Author Ngo, Hoang-Long
Kieu, Trung-Thuy
Nguyen, Hoang-Viet
Luong, Duc-Trong
Tran, Ngoc Khue
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  fullname: Kieu, Trung-Thuy
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  givenname: Duc-Trong
  surname: Luong
  fullname: Luong, Duc-Trong
  email: trongld@hnue.edu.vn
  organization: Hanoi National University of Education
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  fullname: Ngo, Hoang-Long
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  givenname: Ngoc Khue
  surname: Tran
  fullname: Tran, Ngoc Khue
  organization: Faculty of Mathematics and Informatics, Hanoi University of Science and Technology
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Keywords Super-linearly growth coefficient
Tamed-adaptive Euler-Maruyama scheme
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Invariant measure
Multi-level Monte-Carlo
Markovian switching
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Snippet This paper concerns the numerical approximation for the invariant distribution of Markovian switching Lévy-driven stochastic differential equations. By...
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SubjectTerms Approximation
Business and Management
Differential equations
Diffusion coefficient
Economics
Electrical Engineering
Invariants
Life Sciences
Mathematics and Statistics
Monte Carlo simulation
Numerical analysis
Partial differential equations
Statistics
Title A Multi-level Monte Carlo Simulation for Invariant Distribution of Markovian Switching Lévy-Driven SDEs with Super-Linearly Growth Coefficients
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