A Closed-Form Transition Density Expansion for Elliptic and Hypo-Elliptic SDEs
Yuga Iguchi, Alexandros Beskos

TL;DR
This paper presents a novel closed-form expansion for the transition density of elliptic and hypo-elliptic SDEs, enabling accurate approximations and error control, with applications in parameter inference.
Contribution
It introduces the first closed-form transition density expansion for hypo-elliptic SDEs, unifying elliptic and hypo-elliptic cases with theoretical error bounds.
Findings
Provides a symbolic computation-friendly approximation
Validates the expansion with theoretical error bounds
Demonstrates effectiveness in parameter inference for hypo-elliptic SDEs
Abstract
We introduce a closed-form expansion for the transition density of elliptic and hypo-elliptic multivariate Stochastic Differential Equations (SDEs), over a period , in terms of powers of , . Our methodology provides approximations of the transition density, easily evaluated via any software that performs symbolic calculations. A major part of the paper is devoted to an analytical control of the remainder in our expansion for fixed . The obtained error bounds validate theoretically the methodology, by characterising the size of the distance from the true value. It is the first time that such a closed-form expansion becomes available for the important class of hypo-elliptic SDEs, to the best of our knowledge. For elliptic SDEs, closed-form expansions are available, with some works identifying the size of the error for fixed ,…
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Taxonomy
TopicsGas Dynamics and Kinetic Theory · Fluid Dynamics and Turbulent Flows · Differential Equations and Numerical Methods
