English

On partially observed jump diffusions I. The filtering equations

Probability 2022-05-18 v1 Optimization and Control

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 tt, given the observations until tt, are presented.

Keywords

Cite

@article{arxiv.2205.08286,
  title  = {On partially observed jump diffusions I. The filtering equations},
  author = {Fabian Germ and István Gyöngy},
  journal= {arXiv preprint arXiv:2205.08286},
  year   = {2022}
}

Comments

27 pages

R2 v1 2026-06-24T11:19:46.599Z