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An Introduction to Markov Processes

2005-03-30 Mathematics
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Release : 2005-03-30
Genre : Mathematics
Kind : eBook
Book Rating : 517/5 ( reviews)

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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. This book was released on 2005-03-30. 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

1992 Mathematics
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Release : 1992
Genre : Mathematics
Kind : eBook
Book Rating : 559/5 ( reviews)

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Book Synopsis Markov Processes by : Daniel T. Gillespie

Download or read book Markov Processes written by Daniel T. Gillespie. This book was released on 1992. 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.

Applied Semi-Markov Processes

2006-02-08 Mathematics
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Release : 2006-02-08
Genre : Mathematics
Kind : eBook
Book Rating : 488/5 ( reviews)

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Book Synopsis Applied Semi-Markov Processes by : Jacques Janssen

Download or read book Applied Semi-Markov Processes written by Jacques Janssen. This book was released on 2006-02-08. Available in PDF, EPUB and Kindle. Book excerpt: Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes. The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.

Markov Processes for Stochastic Modeling

2013-05-22 Mathematics
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Release : 2013-05-22
Genre : Mathematics
Kind : eBook
Book Rating : 397/5 ( reviews)

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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. This book was released on 2013-05-22. 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, Brownian Motion, and Time Symmetry

2006-01-18 Mathematics
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Release : 2006-01-18
Genre : Mathematics
Kind : eBook
Book Rating : 969/5 ( reviews)

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Book Synopsis Markov Processes, Brownian Motion, and Time Symmetry by : Kai Lai Chung

Download or read book Markov Processes, Brownian Motion, and Time Symmetry written by Kai Lai Chung. This book was released on 2006-01-18. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews of the First Edition: "This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zürich, in the spring of 1970. The author's aim was to present some of the best features of Markov processes and, in particular, of Brownian motion with a minimum of prerequisites and technicalities. The reader who becomes acquainted with the volume cannot but agree with the reviewer that the author was very successful in accomplishing this goal...The volume is very useful for people who wish to learn Markov processes but it seems to the reviewer that it is also of great interest to specialists in this area who could derive much stimulus from it. One can be convinced that it will receive wide circulation." (Mathematical Reviews) This new edition contains 9 new chapters which include new exercises, references, and multiple corrections throughout the original text.

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