Discover how Markov chains predict real systems, from Ulam and von Neumannβs Monte Carlo to PageRank, so you can grasp ...
In this episode probability mathematics and chess collide. In this episode probability mathematics and chess collide. What is the average number of steps it would take before a randomly moving knight ...
This is a preview. Log in through your library . Abstract We have two aims in this paper. First, we generalize the well-known theory of matrix-geometric methods of Neuts to more complicated Markov ...
Abstract Let π = {ππ}πβ₯β be a Markov chain defined on a probability space (Ξ©, β±, β) valued in a discrete topological space π that consists of a finite number of real π × π matrices. As usual, ...
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