A weighted central limit theorem under sublinear expectations
arXiv:1105.0727
Abstract
In this paper, we investigate a central limit theorem for weighted sums of independent random variables under sublinear expectations. It is turned out that our results are natural extensions of the results obtained by Peng and Li and Shi.
arXiv comment11 pages
References in corpus (7)
- Martingale Representation Theorem for the G-expectation
- Some properties on -evaluation and its applications to -martingale decomposition
- A New Central Limit Theorem under Sublinear Expectations
- G-Brownian Motion and Dynamic Risk Measure under Volatility Uncertainty
- Random G-expectations
- A central limit theorem under sublinear expectations
- Properties of hitting times for -martingale