Welton et al (2005) describes how these partially observed data can be used to inform a Markov rate matrix, and takes a Bayesian statistical ... Estimation of Markov chain transition probabilities and ...

Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations ...

A Markov-modulated Poisson Process (MMPP) is a Poisson process that has its parameter controlled by a Markov process. These arrival processes are typical in communications modeling where time-varying ...

Welton et al (2005) describes how these partially observed data can be used to inform a Markov rate matrix, and takes a Bayesian statistical ... Estimation of Markov chain transition probabilities and ...