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

The second ingredient for a Markov chain is a probability transition function. These tell us how likely the knight is to jump from one square, or state, in the language of Markov chains, to another.

There’s a long history behind machine generated text, and perhaps the simplest example comes in the form of a Markov chain.

How to synthesise information from different sources to estimate parameters in a Markov transition rate model. Discussion of how to apply the estimated model to a target population, including ...

Markov disease progression models Introduction Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by ...