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2010, Wiley series in computational statistics, ISBN 0470748265, xix, 357
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing... 
Markov processes | Monte Carlo method
Book
2011, ISBN 1420079417, xxv, 592
Book
2005, Oxford science publications, ISBN 9780198527688, Volume 9780198527688, xi, 327
The book deals with the numerical solution of structured Markov chains which include M/G/1 and G/M/1-type Markov chains, QBD processes, non-skip-free queues, and tree-like stochastic processes... 
Markov processes | Numerical solutions | Numerical Analysis | structured matrices | matrix equations | toeplitz matrices | numerical algorithms | stochastic processes | wiener-hopf factorizations | queueing models
Book
2011, ISBN 9781420051117, xiii, 478
"This book presents an introduction to finite Markov chains and Markov decision processes, with applications in engineering and management... 
Markov processes | Decision making | Mathematics
Book
2009, 2nd ed., Communications and control engineering, ISBN 0521731828, xxviii, 594
Meyn and Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition... 
Markov processes | Mathematics
Book
Transactions of the American Mathematical Society, ISSN 0002-9947, 10/2019, Volume 371, Issue 10, pp. 7301 - 7342
The aim of this paper is to develop a general theory for the class of skip-free Markov chains on denumerable state space... 
MATHEMATICS | spectral theory | non-self-adjoint operator | rate of convergence | Markov chains | fluctuation theory | Martin boundary | cutoff | HITTING TIMES | BIRTH | potential theory | STRONG STATIONARY TIMES | Mathematics - Probability
Journal Article
1997, Cambridge series on statistical and probabilistic mathematics, ISBN 9780521481816, xvi, 237
Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest... 
Markov processes
Book
2009, ISBN 0691140626, xviii, 758
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling... 
Markov processes | Queuing theory | Computer simulation | Probabilities | Technology | Probability | Mathematics | Queueing theory | Statistics | Probabilities-Computer simulation | Mathematical models
Book
1983, ISBN 9780387908083, xiv, 382
Book
Methods in Ecology and Evolution, ISSN 2041-210X, 02/2012, Volume 3, Issue 1, pp. 112 - 115
Summary 1. Markov chain Monte Carlo (MCMC) is a simulation technique that has revolutionised the analysis of ecological data, allowing the fitting of complex models in a Bayesian framework... 
Markov chain Monte Carlo | thinning | WinBUGS | Thinning | MONTE-CARLO | ECOLOGY | MODEL | Bayesian analysis | Monte Carlo simulation | Markov analysis
Journal Article
Soft computing (Berlin, Germany), ISSN 1432-7643, 2018, Volume 23, Issue 15, pp. 6441 - 6453
Journal Article
Psychonomic bulletin & review, ISSN 1531-5320, 2016, Volume 25, Issue 1, pp. 143 - 154
Journal Article
Automatica (Oxford), ISSN 0005-1098, 09/2016, Volume 71, pp. 135 - 142
The solution concepts proposed in this paper follow the Karush–Kuhn–Tucker (KKT) conditions for a Pareto optimal solution in finite-time, ergodic and controllable Markov chains multi-objective programming problems... 
Multiobjective | Pareto | Markov chains | Tikhonov | Karush–Kuhn–Tucker | Karush-Kuhn-Tucker | PARETO FRONT | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Markov processes
Journal Article
1979, Applied mathematical sciences, ISBN 0387904050, Volume 28., xiii, 184
Book
EMERGING INFECTIOUS DISEASES, ISSN 1080-6040, 12/2019, Volume 25, Issue 12, pp. 2298 - 2298
Journal Article
Journal of Theoretical Probability, ISSN 0894-9840, 9/2018, Volume 31, Issue 3, pp. 1512 - 1538
Dealing with finite Markov chains in discrete time, the focus often lies on convergence behavior and one tries to make different copies of the chain meet as fast as possible and then stick together... 
Markov chain | Primary 60J10 | Non-Markovian coupling | Probability Theory and Stochastic Processes | Mathematics | Statistics, general | Coupling inequality | Total variation distance | Secondary 60C05 | STATISTICS & PROBABILITY | Sannolikhetsteori och statistik | Probability Theory and Statistics
Journal Article
International journal of approximate reasoning, ISSN 0888-613X, 09/2017, Volume 88, pp. 452 - 528
Continuous-time Markov chains are mathematical models that are used to describe the state-evolution of dynamical systems under stochastic uncertainty, and have found widespread applications in various fields... 
Imprecise probability | Continuous-time markov chain | Model uncertainty | Lower and upper expectation | Lower transition operator | CONDITIONAL PROBABILITIES | MATRIX | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Markov processes | Analysis | Algorithms
Journal Article