Moment closure for FV-processes using moment-generating functions

39 Pages Posted: 5 Jan 2022

See all articles by Alexander Sevel Lollike

Alexander Sevel Lollike

University of Copenhagen; University of Copenhagen

Date Written: december 28, 2021

Abstract

Understanding stochastic processes by calculating their moments, is a relevant task for an unfathomable number of real-world applications. For finite variation processes with non-linear dynamics, the calculation of moments is notoriously difficult due to the infinite system of moment equations that has to be solved approximately. Moment closure techniques that truncate the infinite system of moment equations has been studied since the sixties, and is to this day an active area of research. Instead of approximating the moments directly through the moment equations, we propose to approximate the moment-generating function, based on a derivation of the PDE for the moment-generating function involving infinite partial derivatives. We construct a finite difference scheme that approximates the moment-generating function, and conduct a numerical study to verify its use.

Keywords: Projection; Infinite PDEs; Polynomial dynamics; Moment truncation

Suggested Citation

Lollike, Alexander Sevel, Moment closure for FV-processes using moment-generating functions (december 28, 2021). Available at SSRN: https://ssrn.com/abstract=3999069 or http://dx.doi.org/10.2139/ssrn.3999069

Alexander Sevel Lollike (Contact Author)

University of Copenhagen ( email )

Nørregade 10
Copenhagen, København DK-1165
Denmark

University of Copenhagen ( email )

Nørregade 10
Copenhagen, København DK-1165
Denmark

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