This matrix connects the present hourly mean wind direction to the next one after one hour. In this way a time series can be generated simulating the hourly wind direction changes. By using a Markov ...

Traditionally Markov chains are software state machines that transition between states with given probabilities, often learned from a training corpus.

David Blackwell, Lambert Koopmans, On the Identifiability Problem for Functions of Finite Markov Chains, The Annals of Mathematical Statistics, Vol. 28, No. 4 (Dec., 1957), pp. 1011-1015 ...

Markov analysis is a method used to forecast the value of a variable whose future value is influenced only by its current position or state.

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 ...