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INTRODUCTION TO STOCHASTIC PROCESSES (World Scientific Probability Theory and Its Applications)
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsLanguage: English
Published by World Scientific Publishing Comp, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Introduction To Stochastic Processes
Language: English
Published by World Scientific Publishing, 2023
Soft cover. Condition: New. ISBN:9781944660512,244pp.
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Introduction To Stochastic Processes
Language: English
Published by World Scientific Publishing Co. Pte. Ltd., 2023
ISBN 10: 1944660518 ISBN 13: 9781944660512
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Introduction To Stochastic Processes
Language: English
Published by World Scientific Publishing Co. Pte. Ltd., 2023
ISBN 10: 1944660518 ISBN 13: 9781944660512
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Introduction To Stochastic Processes
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsLanguage: English
Published by World Scientific Publishing Co Pte Ltd, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Introduction To Stochastic Processes
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsLanguage: English
Published by World Scientific Publishing Co Pte Ltd, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Introduction to Stochastic Processes
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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INTRODUCTION TO STOCHASTIC PROCESSES (World Scientific Probability Theory and Its Applications)
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Introduction to Stochastic Processes
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Introduction to Stochastic Processes
Book 2 of 4: World Scientific Series on Probability Theory and Its ApplicationsLanguage: English
Published by World Scientific Pub Co Inc, 2016
ISBN 10: 9814740306 ISBN 13: 9789814740302
Hardcover. Condition: Brand New. 280 pages. 9.00x6.00x0.63 inches. In Stock.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts - Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and studying.In the part on Markov chains, the focus is on the ergodicity. By using the minimal nonnegative solution method, we deal with the recurrence and various types of ergodicity. This is done step by step, from finite state spaces to denumerable state spaces, and from discrete time to continuous time. The methods of proofs adopt modern techniques, such as coupling and duality methods. Some very new results are included, such as the estimate of the spectral gap. The structure and proofs in the first part are rather different from other existing textbooks on Markov chains.In the part on stochastic analysis, we cover the martingale theory and Brownian motions, the stochastic integral and stochastic differential equations with emphasis on one dimension, and the multidimensional stochastic integral and stochastic equation based on semimartingales. We introduce three important topics here: the Feynman-Kac formula, random time transform and Girsanov transform. As an essential application of the probability theory in classical mathematics, we also deal with the famous Brunn-Minkowski inequality in convex geometry.This book also features modern probability theory that is used in different fields, such as MCMC, or even deterministic areas: convex geometry and number theory. It provides a new and direct routine for students going through the classical Markov chains to the modern stochastic analysis.
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College Statistics Class series of textbooks: Introduction to Stochastic Processes(Chinese Edition)
Language: Chinese
Published by Higher Education Press Pub. Date :2007-06-01, 2007
ISBN 10: 7040217783 ISBN 13: 9787040217780
Soft cover. Condition: New. Language:Chinese.Author:CHEN MU FA MAO YONG HUA.Binding:Soft cover.Publisher:Higher Education Press Pub. Date :2007-06-01.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The objective here is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts in stochastic processes - Markov chains and stochastic analysis.KlappentextrnrnThe objective of .
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Buch. Condition: Neu. INTRODUCTION TO STOCHASTIC PROCESSES | Chen Mu-Fa | Buch | Gebunden | Englisch | 2021 | WSP/HEP | EAN 9789814740302 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts - Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and studying.In the part on Markov chains, the focus is on the ergodicity. By using the minimal nonnegative solution method, we deal with the recurrence and various types of ergodicity. This is done step by step, from finite state spaces to denumerable state spaces, and from discrete time to continuous time. The methods of proofs adopt modern techniques, such as coupling and duality methods. Some very new results are included, such as the estimate of the spectral gap. The structure and proofs in the first part are rather different from other existing textbooks on Markov chains.In the part on stochastic analysis, we cover the martingale theory and Brownian motions, the stochastic integral and stochastic differential equations with emphasis on one dimension, and the multidimensional stochastic integral and stochastic equation based on semimartingales. We introduce three important topics here: the Feynman-Kac formula, random time transform and Girsanov transform. As an essential application of the probability theory in classical mathematics, we also deal with the famous Brunn-Minkowski inequality in convex geometry.This book also features modern probability theory that is used in different fields, such as MCMC, or even deterministic areas: convex geometry and number theory. It provides a new and direct routine for students going through the classical Markov chains to the modern stochastic analysis.
