Labelled Markov Processes

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Labelled Markov Processes

Author : Prakash Panangaden
Publisher : Imperial College Press
ISBN 13 : 1848162898
Total Pages : 212 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Labelled Markov Processes by : Prakash Panangaden

Download or read book Labelled Markov Processes written by Prakash Panangaden and published by Imperial College Press. This book was released on 2009 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Labelled Markov processes are probabilistic versions of labelled transition systems with continuous state spaces. The book covers basic probability and measure theory on continuous state spaces and then develops the theory of LMPs.

Labelled Markov Processes

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Labelled Markov Processes by :

Download or read book Labelled Markov Processes written by and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bisimulation for Labelled Markov Processes

Author : Richard Blute
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.:/5 (246 download)

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Book Synopsis Bisimulation for Labelled Markov Processes by : Richard Blute

Download or read book Bisimulation for Labelled Markov Processes written by Richard Blute and published by . This book was released on 1997 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Labelled Markov Processes [microform]

Author : Josée Desharnais
Publisher : National Library of Canada = Bibliothèque nationale du Canada
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.:/5 (428 download)

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Book Synopsis Labelled Markov Processes [microform] by : Josée Desharnais

Download or read book Labelled Markov Processes [microform] written by Josée Desharnais and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1999 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Markov Processes

Author : Daniel T. Gillespie
Publisher : Gulf Professional Publishing
ISBN 13 : 9780122839559
Total Pages : 600 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Markov Processes by : Daniel T. Gillespie

Download or read book Markov Processes written by Daniel T. Gillespie and published by Gulf Professional Publishing. This book was released on 1992 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov process theory provides a mathematical framework for analyzing the elements of randomness that are involved in most real-world dynamical processes. This introductory text, which requires an understanding of ordinary calculus, develops the concepts and results of random variable theory.

Markov Processes for Stochastic Modeling

Author : Oliver Ibe
Publisher : Newnes
ISBN 13 : 0124078397
Total Pages : 515 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Markov Processes for Stochastic Modeling by : Oliver Ibe

Download or read book Markov Processes for Stochastic Modeling written by Oliver Ibe and published by Newnes. This book was released on 2013-05-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.

Markov Processes

Author : James R. Kirkwood
Publisher : CRC Press
ISBN 13 : 1482240742
Total Pages : 336 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Markov Processes by : James R. Kirkwood

Download or read book Markov Processes written by James R. Kirkwood and published by CRC Press. This book was released on 2015-02-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes and also as a reference for those that want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that motivate and illustrate the theorems. The text is desi

Theory of Markov Processes

Author : E. B. Dynkin
Publisher : Elsevier
ISBN 13 : 1483226107
Total Pages : 221 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Theory of Markov Processes by : E. B. Dynkin

Download or read book Theory of Markov Processes written by E. B. Dynkin and published by Elsevier. This book was released on 2014-05-12 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory of Markov Processes provides information pertinent to the logical foundations of the theory of Markov random processes. This book discusses the properties of the trajectories of Markov processes and their infinitesimal operators. Organized into six chapters, this book begins with an overview of the necessary concepts and theorems from measure theory. This text then provides a general definition of Markov process and investigates the operations that make possible an inspection of the class of Markov processes corresponding to a given transition function. Other chapters consider the more complicated operation of generating a subprocess. This book discusses as well the construction of Markov processes with given transition functions. The final chapter deals with the conditions to be imposed on the transition function so that among the Markov processes corresponding to this function, there should be at least one. This book is a valuable resource for mathematicians, students, and research workers.

An Introduction to Markov Processes

Author : Daniel W. Stroock
Publisher : Springer Science & Business Media
ISBN 13 : 3540269908
Total Pages : 187 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis An Introduction to Markov Processes by : Daniel W. Stroock

Download or read book An Introduction to Markov Processes written by Daniel W. Stroock and published by Springer Science & Business Media. This book was released on 2005-10-14 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theory Leads the reader to a rigorous understanding of basic theory

Markov Processes from K. Itô's Perspective

Author : Daniel W. Stroock
Publisher : Princeton University Press
ISBN 13 : 9780691115436
Total Pages : 292 pages
Book Rating : 4.1/5 (154 download)

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Book Synopsis Markov Processes from K. Itô's Perspective by : Daniel W. Stroock

Download or read book Markov Processes from K. Itô's Perspective written by Daniel W. Stroock and published by Princeton University Press. This book was released on 2003-05-26 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Itô's program. The modern theory of Markov processes was initiated by A. N. Kolmogorov. However, Kolmogorov's approach was too analytic to reveal the probabilistic foundations on which it rests. In particular, it hides the central role played by the simplest Markov processes: those with independent, identically distributed increments. To remedy this defect, Itô interpreted Kolmogorov's famous forward equation as an equation that describes the integral curve of a vector field on the space of probability measures. Thus, in order to show how Itô's thinking leads to his theory of stochastic integral equations, Stroock begins with an account of integral curves on the space of probability measures and then arrives at stochastic integral equations when he moves to a pathspace setting. In the first half of the book, everything is done in the context of general independent increment processes and without explicit use of Itô's stochastic integral calculus. In the second half, the author provides a systematic development of Itô's theory of stochastic integration: first for Brownian motion and then for continuous martingales. The final chapter presents Stratonovich's variation on Itô's theme and ends with an application to the characterization of the paths on which a diffusion is supported. The book should be accessible to readers who have mastered the essentials of modern probability theory and should provide such readers with a reasonably thorough introduction to continuous-time, stochastic processes.

Markov Processes

Author : Stewart N. Ethier
Publisher : John Wiley & Sons
ISBN 13 : 0470317329
Total Pages : 528 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Markov Processes by : Stewart N. Ethier

Download or read book Markov Processes written by Stewart N. Ethier and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "[A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference." -American Scientist "There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings." -Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts "Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that [is] useful both as a reference work and as a graduate textbook." -Journal of Statistical Physics Markov Processes presents several different approaches to proving weak approximation theorems for Markov processes, emphasizing the interplay of methods of characterization and approximation. Martingale problems for general Markov processes are systematically developed for the first time in book form. Useful to the professional as a reference and suitable for the graduate student as a text, this volume features a table of the interdependencies among the theorems, an extensive bibliography, and end-of-chapter problems.

Cycle Representations of Markov Processes

Author : Sophia L. Kalpazidou
Publisher : Springer Science & Business Media
ISBN 13 : 147573929X
Total Pages : 206 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Cycle Representations of Markov Processes by : Sophia L. Kalpazidou

Download or read book Cycle Representations of Markov Processes written by Sophia L. Kalpazidou and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of a class of stochastic processes known as cycle (or circuit) processes - so-called because they may be defined by directed cycles. An important application of this approach is the insight it provides to electrical networks and the duality principle of networks. This expanded second edition adds new advances, which reveal wide-ranging interpretations of cycle representations such as homologic decompositions, orthogonality equations, Fourier series, semigroup equations, and disintegration of measures. The text includes chapter summaries as well as a number of detailed illustrations.

Markov Processes and Applications

Author : Etienne Pardoux
Publisher : John Wiley & Sons
ISBN 13 : 0470721863
Total Pages : 322 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Markov Processes and Applications by : Etienne Pardoux

Download or read book Markov Processes and Applications written by Etienne Pardoux and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an emphasis towards applications. The mathematical treatment is precise and rigorous without superfluous details, and the results are immediately illustrated in illuminating examples. This book will be extremely useful to anybody teaching a course on Markov processes." Jean-François Le Gall, Professor at Université de Paris-Orsay, France. Markov processes is the class of stochastic processes whose past and future are conditionally independent, given their present state. They constitute important models in many applied fields. After an introduction to the Monte Carlo method, this book describes discrete time Markov chains, the Poisson process and continuous time Markov chains. It also presents numerous applications including Markov Chain Monte Carlo, Simulated Annealing, Hidden Markov Models, Annotation and Alignment of Genomic sequences, Control and Filtering, Phylogenetic tree reconstruction and Queuing networks. The last chapter is an introduction to stochastic calculus and mathematical finance. Features include: The Monte Carlo method, discrete time Markov chains, the Poisson process and continuous time jump Markov processes. An introduction to diffusion processes, mathematical finance and stochastic calculus. Applications of Markov processes to various fields, ranging from mathematical biology, to financial engineering and computer science. Numerous exercises and problems with solutions to most of them

Approximating Markov Processes by Averaging

Author : Philippe Chaput
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (658 download)

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Book Synopsis Approximating Markov Processes by Averaging by : Philippe Chaput

Download or read book Approximating Markov Processes by Averaging written by Philippe Chaput and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Markov Processes, Structure and Asymptotic Behavior

Author : Murray Rosenblatt
Publisher : Springer Science & Business Media
ISBN 13 : 3642652387
Total Pages : 282 pages
Book Rating : 4.6/5 (426 download)

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Book Synopsis Markov Processes, Structure and Asymptotic Behavior by : Murray Rosenblatt

Download or read book Markov Processes, Structure and Asymptotic Behavior written by Murray Rosenblatt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with a set of related problems in probability theory that are considered in the context of Markov processes. Some of these are natural to consider, especially for Markov processes. Other problems have a broader range of validity but are convenient to pose for Markov processes. The book can be used as the basis for an interesting course on Markov processes or stationary processes. For the most part these questions are considered for discrete parameter processes, although they are also of obvious interest for continuous time parameter processes. This allows one to avoid the delicate measure theoretic questions that might arise in the continuous parameter case. There is an attempt to motivate the material in terms of applications. Many of the topics concern general questions of structure and representation of processes that have not previously been presented in book form. A set of notes comment on the many problems that are still left open and related material in the literature. It is also hoped that the book will be useful as a reference to the reader who would like an introduction to these topics as well as to the reader interested in extending and completing results of this type.

Automata, Languages and Programming

Author : Jos C.M. Baeten
Publisher : Springer
ISBN 13 : 3540450610
Total Pages : 1218 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Automata, Languages and Programming by : Jos C.M. Baeten

Download or read book Automata, Languages and Programming written by Jos C.M. Baeten and published by Springer. This book was released on 2003-01-01 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 30th International Colloquium on Automata, Languages and Programming, ICALP 2003, held in Eindhoven, The Netherlands in June/July 2003. The 84 revised full papers presented together with six invited papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections on algorithms, process algebra, approximation algorithms, languages and programming, complexity, data structures, graph algorithms, automata, optimization and games, graphs and bisimulation, online problems, verification, the Internet, temporal logic and model checking, graph problems, logic and lambda-calculus, data structures and algorithms, types and categories, probabilistic systems, sampling and randomness, scheduling, and geometric problems.

Models, Algorithms, Logics and Tools

Author : Luca Aceto
Publisher : Springer
ISBN 13 : 3319631217
Total Pages : 666 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Models, Algorithms, Logics and Tools by : Luca Aceto

Download or read book Models, Algorithms, Logics and Tools written by Luca Aceto and published by Springer. This book was released on 2017-08-17 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift is published in honor of Kim Guldstrand Larsen, one of the earliest precursors of computer science in Denmark, on the occasion of his 60th birthday. During the last three decades, Kim Guldstrand Larsen has given major contributions across a remarkably wide range of topics, including real-time, concurrent, and probabilistic models of computation, logic in computer science, and model checking. Since 1995, he has been one of the prime movers behind the model checking tool for real-time systems UPPAAL, for which he was a co-recipient of the CAV Award in 2013. The Festschrift contains 32 papers that feature the broad range of Kim Guldstrand Larsen's research topics, such as formal languages and automata theory; logic; verification, model checking and testing; algorithmic game theory and mechanism design; semantics and reasoning; real-time and distributed systems; and modeling and simulation.