Nonlinear Expectations and Stochastic Calculus under Uncertainty

Details Nonlinear Expectations and Stochastic Calculus under Uncertainty Nonlinear Expectations and Stochastic Calculus under Uncertainty

2010-02-24

arxiv.org/abs/1002.4546v1

Mathematics

Probability

149 pages

Scientific paper

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.

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