I've heard of Markov Chains, but I didn't understand them until I visited this site that explains them with simple ...

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 ...

Traditionally Markov chains are software state machines that transition between states with given probabilities, often learned from a training corpus. That same principle has been applied to ...

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 ...