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Stability of the optimal filter in a hidden Markov model with multiplicative noise

Probability 2013-01-21 v1 Dynamical Systems

Abstract

We consider a hidden Markov model with multiplicative noise emerging from studies of software reliability. We show the stability of the optimal filter with respect to general initial conditions in the total variation- and LpL^p-norm and deduce explicit rates. Remarkably, stability turns out to be independent of the ergodic behavior of the signal.

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Cite

@article{arxiv.1301.4428,
  title  = {Stability of the optimal filter in a hidden Markov model with multiplicative noise},
  author = {Birgit Debrabant and Wilhelm Stannat},
  journal= {arXiv preprint arXiv:1301.4428},
  year   = {2013}
}

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11 pages