Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...

This is a preview. Log in through your library . Abstract This paper considers maximum likelihood (ML) estimation in a large class of models with hidden Markov regimes. We investigate consistency of ...

Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...

At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...