Nonlinear Expectations and Stochastic Calculus under Uncertainty with Robust CLT and G-Brownian Motion /

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 a...

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Bibliographic Details
Main Author: Peng, Shige (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Probability Theory and Stochastic Modelling, 95
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Sublinear Expectations and Risk Measures
  • Law of Large Numbers and Central Limit Theorem under Uncertainty
  • G-Brownian Motion and Itô's Calculus
  • G-Martingales and Jensen's Inequality
  • Stochastic Differential Equations
  • Capacity and Quasi-Surely Analysis for G-Brownian Paths
  • G-Martingale Representation Theorem
  • Some Further Results of Itô's Calculus
  • Appendix A Preliminaries in Functional Analysis
  • Appendix B Preliminaries in Probability Theory
  • Appendix C Solutions of Parabolic Partial Differential Equation
  • Bibliography
  • Index of Symbols
  • Subject Index
  • Author Index.