Markov chains / by 229373 Revuz, D.

Markov chains / by 229373 Revuz, D.

Markov chains / by Freedman, David, 1938-

Markov chains / by Norris, J. R. (James R.)

Denumerable Markov chains / by 436192 Kemeny, John G., Shell, J. Laurie, Knapp, Anthony W.

Finite Markov chains / by 436192 Kemeny, John G., Shell, J. Laurie

Markov chains and applications by Mississippi Valenzuela

Subjects: “…markov chains…”
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Decisive Markov Chains by Parosh Aziz Abdulla, Noomene Ben Henda, Richard Mayr

“…We consider qualitative and quantitative verification problems for infinite-state Markov chains. We call a Markov chain decisive w.r.t. a given set of target states F if it almost certainly eventually reaches either F or a state from which F can no longer be reached. …”
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Markov chains, theory and applications / by 228614 Isaacson, Dean L., Madsen, Richard W.

Lectures on boundary for Markov chains / by 183874 Chung, Kai Lai

Approximating countable Markov chains/ by Freedman, David, 1938-

Markov chains and stochastic stability / by 336271 Meyn, Sean, Tweedie, R. L. (Richard L.)

Numerical solution of markov chains / by Stewart, William J.

Application of Markov chain in manufacturing / by 493615 Chye, Rou Shi, Arifah Bahar, Fakulti Sains

Markov chains : applications in biology / by Nor Azrita Mohd. Amin 494806, Nur Ilyana Anwar Apandi 454197, Fakulti Sains 8004

Markov chains : an application to queuing / by 495366 Low, Chai Leng, Mohd. Radzi Abdullah Poh, Fakulti Sains

Markov chains and dependability theory / by Rubino, Gerardo, 1955- author, Sericola, Bruno, author

Double coset Markov chains by Persi Diaconis, Arun Ram, Mackenzie Simper

“…Examples include coagulation-fragmentation processes and natural Markov chains on contingency tables. Our main example projects the random transvections walk on $GL_n(q)$ onto a Markov chain on $S_n$ via the Bruhat decomposition. …”
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A Simple Markov Chain by Zhai Qian

“…In this paper, Markov chain is used to model the reproduction of the fixed finite population, and use binomial distribution to discuss the probability of gen inheritance between generations population genes and establish transfer matrix ,using conditional mathematics expect to obtain the probability of absorption at 0 and at 2N only depends on the initial fraction of A gene, and this also must be a fixation probability of gene A , and this conclusion is the same as the results of MATLAB simulation.…”
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The Markov Chain Tree Theorem by Leighton, Frank Thomson, Rivest, Ronald L.

“…Let M be a finite first-order stationary Markov chain. We define an arborescence to be a set of edges in the directed graph for M having at most one edge out of every vertex, no cyles, and maximum cardinality. …”
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