Exponential contractions and robustness for approximate Wonham filters
Statistics Theory
2023-05-04 v1 Probability
Statistics Theory
Abstract
We consider the problem of estimating the state of a continuous-time Markov chain from noisy observations. We show that the corresponding optimal filter is strictly contracting pathwise, when considered in the Hilbert projective space, and give explicit deterministic and pathwise rates of convergence. Using this, we provide alternative proofs of the robustness of optimal filters, improving on known error estimates, and derive rigorous and computable error bounds for approximate filters.
Cite
@article{arxiv.2305.02256,
title = {Exponential contractions and robustness for approximate Wonham filters},
author = {Samuel N. Cohen and Eliana Fausti},
journal= {arXiv preprint arXiv:2305.02256},
year = {2023}
}
Comments
48 pages, 3 figures