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 ...

In this case, it's something called a Markov chain. The first ingredient for a Markov chain is a state space. In our case, the state space is the 64 squares of the chessboard. Each square is ...

Frequently, however, what is recorded is the starting state and the end-state T years later ... Welton NJ, Ades AE. Estimation of Markov chain transition probabilities and rates from fully and ...

https://doi.org/10.2307/48731470 • https://www.jstor.org/stable/48731470 In recent years, Markov chains whose stationary distributions belong to the locationscale ...

A Markov chain can be depicted in a geometric or algebraic manner. The geometric picture is that of a graph, a collections of points (nodes) connected by lines (edges). Each node is a state and ...