On partially observed jump diffusions I: the filtering equations

Abstract This paper is the first part of a series of papers on filtering for partially observed jump diffusions satisfying a stochastic differential equation driven by Wiener processes and Poisson martingale measures. The coefficients of the equation only satisfy appropriate growth conditions. Some results in filtering theory of diffusion processes are extended to jump diffusions and equations for the time evolution of the conditional distribution and the unnormalised conditional distribution of the unobserved process at time t , given the observations until t , are presented.

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Publication Details

Journal
Stochastic Partial Differential Equations Analysis and Computations
Published
2025-04-01
DOI
https://doi.org/10.1007/s40072-025-00353-4
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

On partially observed jump diffusions I: the filtering equations

Fabian Germ, István Gyöngy
Stochastic Partial Differential Equations Analysis and Computations
Advanced Mathematical Modeling in Engineering
article

On partially observed jump diffusions I: the filtering equations

Fabian Germ, István Gyöngy
article en

Abstract

Abstract This paper is the first part of a series of papers on filtering for partially observed jump diffusions satisfying a stochastic differential equation driven by Wiener processes and Poisson martingale measures. The coefficients of the equation only satisfy appropriate growth conditions. Some results in filtering theory of diffusion processes are extended to jump diffusions and equations for the time evolution of the conditional distribution and the unnormalised conditional distribution of the unobserved process at time t , given the observations until t , are presented.

Stochastic Partial Differential Equations Analysis and ComputationsVol. 13(3)
Maxwell Institute for Mathematical Sciences (GB), Delft University of Technology (NL), University of Edinburgh (GB)
Openalex Percentile: Top 92%
Advanced Mathematical Modeling in Engineering
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