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Markov Chains : With Stationary Transition Probabilities - Kai Lai Chung
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Kai Lai Chung:

Markov Chains : With Stationary Transition Probabilities - Paperback

2012, ISBN: 3642620175

[EAN: 9783642620171], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], RANDOM VARIABLE; APPROXIMATION; DIFFERENTIAL EQUATION; FUNCTION; MATHEMATICS; PROBABILITY; WALK; THEOREM; MARKO… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Markov Chains - Kai Lai Chung
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Kai Lai Chung:

Markov Chains - Paperback

ISBN: 9783642620171

*Markov Chains* - With Stationary Transition Probabilities. Softcover reprint of the original 2nd ed. 1967 / Taschenbuch für 106.99 € / Aus dem Bereich: Bücher, Wissenschaft, Mathematik M… More...

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Chung, Kai Lai:
Markov Chains: With Stationary Transition Probabilities (Grundlehren der mathematischen Wissenschaften, 104) - Paperback

2012

ISBN: 3642620175

[EAN: 9783642620171], Gebraucht, guter Zustand, [PU: Springer], Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials… More...

NOT NEW BOOK. Shipping costs: EUR 18.36 GF Books, Inc., Hawthorne, CA, U.S.A. [64674448] [Rating: 5 (von 5)]
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Chung, Kai Lai:
Markov Chains: With Stationary Transition Probabilities (Grundlehren Der Mathematischen Wissenschaften, 104) - Paperback

2012, ISBN: 9783642620171

paperback, Access codes and supplements are not guaranteed with used items. May be an ex-library book., Gebraucht, guter Zustand, [PU: Springer]

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Markov Chains: With Stationary Transition Probabilities - Chung, Kai Lai
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Chung, Kai Lai:
Markov Chains: With Stationary Transition Probabilities - Paperback

ISBN: 9783642620171

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Bibliographic data of the best matching book

Details of the book
Markov Chains
Author:
Title:
ISBN:

9783642620171


From the reviews:

J. Neveu, 1962 in Zentralblatt für Mathematik, 92.Band Heft 2, p. 343: "Ce livre écrit par l'un des plus éminents spécialistes en la matière, est un exposé très détaillé de la théorie des processus de Markov définis sur un espace dénombrable d'états et homogènes dans le temps (chaines stationnaires de Markov)."

N.Jain, 2008 in Selected Works of Kai Lai Chung, edited by Farid AitSahlia (University of Florida, USA), Elton Hsu (Northwestern University, USA), & Ruth Williams (University of California-San Diego, USA), Chapter 1, p. 15: "This monograph deals with countable state Markov chains in both discrete time (Part I) and continuous time (Part II). [...] Much of Kai Lai's fundamental work in the field is included in this monograph. Here, for the first time, Kai Lai gave a systematic exposition of the subject which includes classification of states, ratio ergodic theorems, and limit theorems for functionals of the chain."

Details of the book - Markov Chains


EAN (ISBN-13): 9783642620171
ISBN (ISBN-10): 3642620175
Paperback
Publishing year: 1967
Publisher: Springer Berlin Heidelberg

Book in our database since 2013-08-19T10:19:41-04:00 (New York)
Detail page last modified on 2024-04-06T12:48:04-04:00 (New York)
ISBN/EAN: 9783642620171

ISBN - alternate spelling:
3-642-62017-5, 978-3-642-62017-1
Alternate spelling and related search-keywords:
Book author: kai lai chung
Book title: marko, grundlehren der mathematischen wissenschaften, markov chains with stationary transition probabilities

Information from Publisher

Author: Kai Lai Chung
Title: Grundlehren der mathematischen Wissenschaften; Markov Chains - With Stationary Transition Probabilities
Publisher: Springer; Springer Berlin
301 Pages
Publishing year: 2012-07-17
Berlin; Heidelberg; DE
Printed / Made in
Language: English
128,39 € (DE)
131,99 € (AT)
142,00 CHF (CH)
POD
XI, 301 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Markov Chains; Markov chain; Markov property; Moment; Parameter; Random variable; approximation; differential equation; equation; function; mathematics; probability; random walk; theorem; variable; Probability Theory; Stochastik; BB; EA

I. Discrete Parameter.- § 1. Fundamental definitions.- § 2. Transition probabilities.- § 3. Classification of states.- § 4. Recurrence.- § 5. Criteria and examples.- § 6. The main limit theorem.- § 7. Various complements.- § 8. Repetitive pattern and renewal process.- § 9. Taboo probabilities.- § 10. The generating function.- § 11. The moments of first entrance time distributions.- § 12. A random walk example.- § 13. System theorems.- § 14. Functionals and associated random variables.- § 15. Ergodic theorems.- § 16. Further limit theorems.- § 17. Almost closed and sojourn sets.- II. Continuous Parameter.- § 1. Transition matrix: basic properties.- § 2. Standard transition matrix.- § 3. Differentiability.- § 4. Definitions and measure-theoretic foundations.- § 5. The sets of constancy.- § 6. Continuity properties of sample functions.- § 7. Further specifications of the process.- § 8. Optional random variable.- § 9. Strong Markov property.- § 10. Classification of states.- § 11. Taboo probability functions.- § 12. Last exit time.- § 13. Ratio limit theorems; discrete approximations.- § 14. Functionals.- § 15. Post-exit process.- § 16. Imbedded renewal process.- § 17. The two systems of differential equations.- § 18. The minimal solution.- § 19. The first infinity.- § 20. Examples.
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