Sensitivity analysis in HMMs with application to likelihood maximization

NeurIPS 2009 Pierre-Arnaud CoquelinRomain DeguestRémi Munos

This paper considers a sensitivity analysis in Hidden Markov Models with continuous state and observation spaces. We propose an Infinitesimal Perturbation Analysis (IPA) on the filtering distribution with respect to some parameters of the model... (read more)

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