Continuous Time Markov Processes
Title | Continuous Time Markov Processes PDF eBook |
Author | Thomas Milton Liggett |
Publisher | American Mathematical Soc. |
Pages | 290 |
Release | 2010 |
Genre | Mathematics |
ISBN | 0821849492 |
Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, and applies this theory to various special examples.
Continuous-Time Markov Chains
Title | Continuous-Time Markov Chains PDF eBook |
Author | William J. Anderson |
Publisher | Springer Science & Business Media |
Pages | 367 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 1461230381 |
Continuous time parameter Markov chains have been useful for modeling various random phenomena occurring in queueing theory, genetics, demography, epidemiology, and competing populations. This is the first book about those aspects of the theory of continuous time Markov chains which are useful in applications to such areas. It studies continuous time Markov chains through the transition function and corresponding q-matrix, rather than sample paths. An extensive discussion of birth and death processes, including the Stieltjes moment problem, and the Karlin-McGregor method of solution of the birth and death processes and multidimensional population processes is included, and there is an extensive bibliography. Virtually all of this material is appearing in book form for the first time.
Continuous-Time Markov Chains and Applications
Title | Continuous-Time Markov Chains and Applications PDF eBook |
Author | George G. Yin |
Publisher | Springer |
Pages | 358 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 1461206278 |
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. The book presents results on asymptotic expansions of the corresponding probability distributions, functional occupation measures, exponential upper bounds, and asymptotic normality. To bridge the gap between theory and applications, a large portion of the book is devoted to various applications, thus reducing the dimensionality for problems under Markovian disturbances and providing tools for dealing with large-scale and complex real-world situations. Much of this stems from the authors'recent research, presenting results which have not appeared elsewhere. An important reference for researchers in applied mathematics, probability and stochastic processes, operations research, control theory, and optimisation.
Continuous-Time Markov Decision Processes
Title | Continuous-Time Markov Decision Processes PDF eBook |
Author | Xianping Guo |
Publisher | Springer Science & Business Media |
Pages | 240 |
Release | 2009-09-18 |
Genre | Mathematics |
ISBN | 3642025471 |
Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.
Markov Chains
Title | Markov Chains PDF eBook |
Author | Pierre Bremaud |
Publisher | Springer Science & Business Media |
Pages | 456 |
Release | 2013-03-09 |
Genre | Mathematics |
ISBN | 1475731248 |
Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.
Markov Processes for Stochastic Modeling
Title | Markov Processes for Stochastic Modeling PDF eBook |
Author | Oliver Ibe |
Publisher | Newnes |
Pages | 515 |
Release | 2013-05-22 |
Genre | Mathematics |
ISBN | 0124078397 |
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.
An Introduction to Continuous-Time Stochastic Processes
Title | An Introduction to Continuous-Time Stochastic Processes PDF eBook |
Author | Vincenzo Capasso |
Publisher | Springer Science & Business Media |
Pages | 348 |
Release | 2008-01-03 |
Genre | Mathematics |
ISBN | 0817644288 |
This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. Balancing theory and applications, the authors use stochastic methods and concrete examples to model real-world problems from engineering, biomathematics, biotechnology, and finance. Suitable as a textbook for graduate or advanced undergraduate courses, the work may also be used for self-study or as a reference. The book will be of interest to students, pure and applied mathematicians, and researchers or practitioners in mathematical finance, biomathematics, physics, and engineering.