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.
Authors
- Fabian Germ (ORCID: https://orcid.org/0000-0002-3216-921X)
- István Gyöngy (ORCID: https://orcid.org/0000-0002-2131-1313)
Institutions
- Maxwell Institute for Mathematical Sciences (GB)
- Delft University of Technology (NL)
- University of Edinburgh (GB)
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