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9789814740302 - Introduction to Stochastic Processes: 2 di Chen, Mu-Fa; Yong-hua Mao (20 risultati)
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INTRODUCTION TO STOCHASTIC PROCESSES (World Scientific Probability Theory and Its Applications)
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsLingua: Inglese
Editore: World Scientific Publishing Comp, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
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Introduction to Stochastic Processes
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Introduction to Stochastic Processes
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Introduction To Stochastic Processes: 2 (World Scientific Series on Probability Theory and Its Applications)
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Introduction to Stochastic Processes
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Introduction To Stochastic Processes: 2 (World Scientific Series on Probability Theory and Its Applications)
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INTRODUCTION TO STOCHASTIC PROCESSES
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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INTRODUCTION TO STOCHASTIC PROCESSES
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Introduction To Stochastic Processes: 2 (World Scientific Series on Probability Theory and Its Applications)
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Introduction To Stochastic Processes
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsLingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
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Introduction to Stochastic Processes
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Introduction To Stochastic Processes
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsLingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2021
ISBN 10: 9814740306 ISBN 13: 9789814740302
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Introduction to Stochastic Processes
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INTRODUCTION TO STOCHASTIC PROCESSES (World Scientific Probability Theory and Its Applications)
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Introduction to Stochastic Processes
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Introduction to Stochastic Processes
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsLingua: Inglese
Editore: World Scientific Pub Co Inc, 2016
ISBN 10: 9814740306 ISBN 13: 9789814740302
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Aggiungi al carrelloHardcover. Condizione: Brand New. 280 pages. 9.00x6.00x0.63 inches. In Stock.
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Introduction to Stochastic Processes
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Aggiungi al carrelloCondizione: 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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Introduction to Stochastic Processes
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsEUR 77,67
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Aggiungi al carrelloCondizione: 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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INTRODUCTION TO STOCHASTIC PROCESSES
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsEUR 80,60
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Aggiungi al carrelloBuch. Condizione: 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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INTRODUCTION TO STOCHASTIC PROCESSES
Libro 2 di 4: World Scientific Series on Probability Theory and Its ApplicationsEUR 96,27
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Aggiungi al carrelloBuch. Condizione: 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.
