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We consider a hidden Markov model with multiplicative noise emerging fromstudies of software reliability. We show the stability of the optimal filterwith respect to general initial conditions in the total variation- and$L^p$-norm and deduce explicit rates. Remarkably, stability turns out to beindependent of the ergodic behavior of the signal.

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