Physical systems supporting stationary-structures allow translation of their mathematical formulations in to stochastic models. This paper presents the application of Markovian nonuniform generation ...

Discover how Markov Analysis predicts future states from current data, understand its strengths and weaknesses, and explore its application in finance and business.

Random walks are a canonical model for stochastic transport, and their behaviour becomes considerably richer when the step distribution is influenced by an evolving external regime. In a ...

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 ...