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Nonlinear Expectations and Stochastic Calculus Under Uncertainty: With Robust CLT and G-Brownian Motion

2019-12-23Editor: Source:


Book: Nonlinear Expectations and Stochastic Calculus Under Uncertainty: With Robust CLT and G-Brownian Motion


Introduction:

In this book, we introduce a new approach of sublinear expectation to deal with the problem of probability and distribution model uncertainty. We a new type of (robust) normal distributions and the related central limit theorem under sublinear expectation. We also present a new type of Brownian motion under sublinear expectations and the related stochastic calculus of Ito's type. The results provide robust tools for the problem of probability model uncertainty arising from financial risk management, statistics and stochastic controls.


Author: Shige PENG

Published Year: 2019 

Publisher:  Springer Nature

External LinkNonlinear Expectations and Stochastic Calculus Under Uncertainty: With Robust CLT and G-Brownian Motion




















(Editor in Charge: Lei Hao)