Stability of the optimal filter in a hidden Markov model with multiplicative noise
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 Lp-norm and deduce explicit rates. Remarkably, stability turns out to be independent of the ergodic behavior of the signal.
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