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A second-order discretization for degenerate systems of stochastic differential equations

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A second-order discretization for degenerate systems of stochastic differential equations. / Iguchi, Yuga; Yamada, Toshihiro.
In: IMA Journal of Numerical Analysis, Vol. 41, No. 4, 31.10.2021, p. 2782-2829.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Iguchi Y, Yamada T. A second-order discretization for degenerate systems of stochastic differential equations. IMA Journal of Numerical Analysis. 2021 Oct 31;41(4):2782-2829. Epub 2020 Aug 6. doi: 10.1093/imanum/draa039

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Iguchi, Yuga ; Yamada, Toshihiro. / A second-order discretization for degenerate systems of stochastic differential equations. In: IMA Journal of Numerical Analysis. 2021 ; Vol. 41, No. 4. pp. 2782-2829.

Bibtex

@article{8c76ea49ce1245f79689c76c9694c6a3,
title = "A second-order discretization for degenerate systems of stochastic differential equations",
abstract = "The paper proposes a new second-order weak approximation scheme for hypoelliptic diffusions or degenerate systems of stochastic differential equations satisfying a certain H{\"o}rmander condition. The scheme is constructed by a Gaussian process and a stochastic polynomial weight through a technique based on Malliavin calculus, and is implemented by a Monte Carlo method and a quasi-Monte Carlo method. A variance analysis for the Monte Carlo method is discussed, and further control variate methods are introduced to reduce the variance. The effectiveness of the proposed scheme is illustrated through numerical experiments for some hypoelliptic diffusions.",
author = "Yuga Iguchi and Toshihiro Yamada",
year = "2021",
month = oct,
day = "31",
doi = "10.1093/imanum/draa039",
language = "English",
volume = "41",
pages = "2782--2829",
journal = "IMA Journal of Numerical Analysis",
issn = "0272-4979",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - A second-order discretization for degenerate systems of stochastic differential equations

AU - Iguchi, Yuga

AU - Yamada, Toshihiro

PY - 2021/10/31

Y1 - 2021/10/31

N2 - The paper proposes a new second-order weak approximation scheme for hypoelliptic diffusions or degenerate systems of stochastic differential equations satisfying a certain Hörmander condition. The scheme is constructed by a Gaussian process and a stochastic polynomial weight through a technique based on Malliavin calculus, and is implemented by a Monte Carlo method and a quasi-Monte Carlo method. A variance analysis for the Monte Carlo method is discussed, and further control variate methods are introduced to reduce the variance. The effectiveness of the proposed scheme is illustrated through numerical experiments for some hypoelliptic diffusions.

AB - The paper proposes a new second-order weak approximation scheme for hypoelliptic diffusions or degenerate systems of stochastic differential equations satisfying a certain Hörmander condition. The scheme is constructed by a Gaussian process and a stochastic polynomial weight through a technique based on Malliavin calculus, and is implemented by a Monte Carlo method and a quasi-Monte Carlo method. A variance analysis for the Monte Carlo method is discussed, and further control variate methods are introduced to reduce the variance. The effectiveness of the proposed scheme is illustrated through numerical experiments for some hypoelliptic diffusions.

U2 - 10.1093/imanum/draa039

DO - 10.1093/imanum/draa039

M3 - Journal article

VL - 41

SP - 2782

EP - 2829

JO - IMA Journal of Numerical Analysis

JF - IMA Journal of Numerical Analysis

SN - 0272-4979

IS - 4

ER -