Applied Markov Chains

Denumerable Markov Chains  eBooks & eLearning

Posted by tanas.olesya at Dec. 2, 2016
Denumerable Markov Chains

Denumerable Markov Chains (Graduate Texts in Mathematics) by John G. Kemeny
English | 1 Sept. 1976 | ISBN: 1468494570 | 500 Pages | PDF | 14 MB

With the first edition out of print, we decided to arrange for republiĀ­ cation of Denumerrible Markov Ohains with additional bibliographic material.

Markov Chains and Stochastic Stability  eBooks & eLearning

Posted by tanas.olesya at Oct. 28, 2016
Markov Chains and Stochastic Stability

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) by Sean Meyn
English | 2 Apr. 2009 | ISBN: 0521731828 | 624 Pages | PDF | 7 MB

The pursuit of more efficient simulation algorithms for complex Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains.

Markov Chains and Stochastic Stability  eBooks & eLearning

Posted by step778 at Aug. 25, 2016
Markov Chains and Stochastic Stability

Sean P. Meyn, Richard L. Tweedie, "Markov Chains and Stochastic Stability"
1993 | pages: 557 | ISBN: 1447132696 | DJVU | 5,5 mb

Queuing Networks and Markov Chains [Repost]  

Posted by tanas.olesya at Jan. 14, 2016
Queuing Networks and Markov Chains [Repost]

Queuing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications by Gunter Bolch
English | 12 Oct. 1998 | ISBN: 0471193666 | 744 Pages | PDF | 51 MB

Queueing Networks and Markov Chains provides comprehensive coverage of the theory and application of computer performance evaluation based on queueing networks and Markov chains. Progressing from basic concepts to more complex topics, this book offers a clear and concise treatment of the state of the art in this important field.
Selected Topics On Continuous-Time Controlled Markov Chains And Markov Games

Tomas Prieto-Rumeau, Onesimo Hernandez-Lerma, "Selected Topics On Continuous-Time Controlled Markov Chains And Markov Games"
2012 | ISBN-10: 1848168489 | 292 pages | PDF | 1 MB

Bayesian Decision Problems and Markov Chains  

Posted by Nice_smile) at Sept. 18, 2015
Bayesian Decision Problems and Markov Chains

Bayesian Decision Problems and Markov Chains by J.J. Martin
English | Dec. 1967 | ISBN: 0471573515 | 216 Pages | DJVU | 4.79 MB

Combines Bayesian decision theory and the theory of Markov chains by establishing a theoretical structure for Markov chains in which the transition probabilities are uncertain.
Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis

Vlad Stefan Barbu, Nikolaos Limnios, "Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis"
English | 2008 | ISBN: 0387731717 | PDF | pages: 232 | 3,8 mb

Continuous-Time Markov Chains and Applications by George G. Yin  

Posted by tanas.olesya at June 19, 2015
Continuous-Time Markov Chains and Applications by George G. Yin

Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach (Stochastic Modelling and Applied Probability) by George G. Yin
English | Oct 30, 1997 | ISBN: 0387982442 | 357 Pages | PDF | 14 MB

Using a singular perturbation approach, this is a systematic treatment of those systems that naturally arise in queuing theory, control and optimisation, and manufacturing, gathering a number of ideas which were previously scattered throughout the literature.
Harmonic Analysis on Finite Groups: Representation Theory, Gelfand Pairs and Markov Chains (repost)

Harmonic Analysis on Finite Groups: Representation Theory, Gelfand Pairs and Markov Chains by Tullio Ceccherini-Silberstein and Fabio Scarabotti
English | 2008-03-17 | ISBN: 0521883369 | PDF | 454 pages | 3,8 MB
Markov Chains: Models, Algorithms and Applications by Michael K. Ng

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science) by Michael K. Ng
English | December 5, 2005 | ISBN: 0387293353 | 222 Pages | PDF | 1 MB

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models.