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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| Format: | Electronic eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Probability Theory and Stochastic Modelling,
95 |
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| 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.