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Book
Nonlinear Expectations and Stochastic Calculus under Uncertainty : with Robust CLT and G-Brownian Motion
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ISBN: 3662599031 3662599023 9783662599020 Year: 2019 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Abstract

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.


Book
Nonlinear Expectations and Stochastic Calculus under Uncertainty
Authors: ---
ISBN: 9783662599037 Year: 2019 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg :Imprint: Springer

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Real options, ambiguity, risk and insurance.
Authors: --- --- ---
ISBN: 9781614992387 161499238X 1614992371 9781614992370 Year: 2013 Publisher: Amsterdam

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