Research Catalog
Markov processes for stochastic modeling
- Title
- Markov processes for stochastic modeling / Oliver C. Ibe.
- Author
- Ibe, Oliver C. (Oliver Chukwudi), 1947-
- Publication
- Amsterdam ; Boston : Academic Press, ©2009.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Book/Text | Use in library | QA274.7 .I24 2009 | Off-site |
Details
- Description
- xiv, 490 pages : illustrations; 24 cm
- Summary
- "This book, which is written for upper level undergraduate and graduate students, and researchers, presents a unified presentation of Markov processes. In addition to traditional topics such as Markovian queueing system, the book discusses such topics as continuous-time random walk, correlated random walk, Brownian motion, diffusion processes, hidden Markov models, Markov random fields, Markov point processes and Markov chain Monte Carlo. Continuous-time random walk is currently used in econophysics to model the financial market, which has traditionally been modelled as a Brownian motion. The broad coverage of many different applications of Markov processes provided within this text, ultimately allows it to function as a flexible and comprehensive resource."--Jacket.
- Uniform Title
- Stochastic modeling
- Subject
- Bibliography (note)
- Includes bibliographical references (p. 451-469) and index.
- Contents
- Basic concepts -- Introduction to Markov processes -- Discrete-time Markov chains -- Continuous-time Markov chains -- Markovian queueing systems -- Markov renewal processes -- Markovian arrival processes -- Random walk -- Brownian motion and diffusion processes -- Controlled Markov processes -- Hidden Markov models -- Markov random fields -- Markov point processes -- Markov chain Monte Carlo.
- ISBN
- 9780123744517
- 0123744512
- LCCN
- 2008021501
- OCLC
- ocn228676682
- 228676682
- SCSB-9184009
- Owning Institutions
- Princeton University Library