Importance sampling for McKean-Vlasov SDEs
Gonçalo dos Reis,
Greig Smith and
Peter Tankov
Applied Mathematics and Computation, 2023, vol. 453, issue C
Abstract:
This paper deals with Monte-Carlo (MC) methods for evaluating expectations of functionals of solutions to McKean-Vlasov Stochastic Differential Equations (MV-SDE) including those with super-linearly growing drifts. Underpinned by an interacting particle system approximation, we propose two importance sampling (IS) algorithms to reduce the variance of an associated MC estimator.
Keywords: McKean-Vlasov Stochastic Differential Equation; Interacting particle systems; Monte Carlo simulation; Importance sampling; Large deviations (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323002473
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:453:y:2023:i:c:s0096300323002473
DOI: 10.1016/j.amc.2023.128078
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().