Consistent and Asymptotically Normal Parameter Estimates for Markov Modulated Poisson Processes

It has recently been shown that the maximum-likelihood estimate (MLE) of the parameters of a Markov modulated Poisson process is consistent, but no results concerning asymptotic normality are known. In this paper we propose a new class of estimates which are consistent, asymptotically normal, and which are almost as good as the MLE.

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