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, ...
A Markov chain is a sequence of random variables that satisfies P(X t+1 β£X t ,X tβ1 ,β¦,X 1 )=P(X t+1 β£X t ). Simply put, it is a sequence in which X t+1 depends only on X t and appears before X tβ1 ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In todayβs column, I closely examine an innovative way of ...
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