Peng Shige (38 results)
Stochastic Methods in Finance
Back, Kerry; Bielecki, Tomasz R.; Hipp, Christian; Peng, Shige; Schachermayer, Walter
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Stochastic Methods in Finance: Lectures given at the C.I.M.E.-E.M.S. Summer School held in Bressanone/Brixen, Italy, July 6-12, 2003 (Lecture Notes in Mathematics, 1856)
Back, Kerry; Bielecki, Tomasz R.; Hipp, Christian; Peng, Shige; Schachermayer, Walter
- Softcover
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Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Published by Springer Berlin Heidelberg, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
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Published by Springer Berlin Heidelberg, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
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Gebunden. Condition: New.
Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
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Condition: New. pp. XIII, 212 10 illus. 1st ed. 2019 edition 092 NO-PA16APR2015-KAP.
More imagesLanguage: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
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Taschenbuch. Condition: Neu. Nonlinear Expectations and Stochastic Calculus under Uncertainty | with Robust CLT and G-Brownian Motion | Shige Peng | Taschenbuch | xiii | Englisch | 2020 | Springer | EAN 9783662599051 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartm…ann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Hardcover. Condition: Brand New. 212 pages. 10.00x7.00x0.50 inches. In Stock.
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Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
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Language: English
Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
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Language: English
Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear expectations an…d related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.This book is based on Shige Peng's lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus underG-expectations. It ends with recent research topic onG-Martingale representation theorem andG-stochastic integral for locally integrable processes.With exercises topracticeat the end of each chapter, thisbook can be used as a graduate textbook for students in probability theory and mathematical finance.Each chapter also concludes with a sectionNotes and Comments,which gives history and further references on the material covered in that chapter.Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful.
Language: English
Published by Springer Vieweg, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear expectat…ions and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.This book is based on Shige Peng's lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus underG-expectations. It ends with recent research topic onG-Martingale representation theorem andG-stochastic integral for locally integrable processes.With exercises topracticeat the end of each chapter, thisbook can be used as a graduate textbook for students in probability theory and mathematical finance.Each chapter also concludes with a sectionNotes and Comments,which gives history and further references on the material covered in that chapter.Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful.
Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear…expectations and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.This book is based on Shige Peng¿s lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus under G-expectations. It ends with recent research topic on G-Martingale representation theorem and G-stochastic integral for locally integrable processes.With exercises to practice at the end of each chapter, this book can be used as a graduate textbook for students in probability theory and mathematical finance. Each chapter also concludes with a section Notes and Comments, which gives history and further references on the material covered in that chapter.Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful.
Language: English
Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Softcover. Condition: gut. 2020. Nonlinear Expectations and Stochastic Calculus under Uncertainty In deutscher Sprache. pages.
Stochastic Methods in Finance
Kerry Back|Tomasz R. Bielecki|Christian Hipp|Shige Peng|Walter Schachermayer
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume includes the five lecture courses given at the CIME-EMS School on Stochastic Methods in Finance held in Bressanone/Brixen, Italy 2003. It deals with innovative methods, mainly from stochastic analysis, tha…t play a fundamental role in the ma.
Language: English
Published by Springer, 2019
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer Berlin Heidelberg Sep 2020, 2020
Series: Book 28 of 35 - Probability Theory and Stochastic Modelling
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of no…nlinear expectations and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.This book is based on Shige Peng's lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus underG-expectations. It ends with recent research topic onG-Martingale representation theorem andG-stochastic integral for locally integrable processes.With exercises topracticeat the end of each chapter, thisbook can be used as a graduate textbook for students in probability theory and mathematical finance.Each chapter also concludes with a sectionNotes and Comments,which gives history and further references on the material covered in that chapter.Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful. 228 pp. Englisch.
