On inequalities for sums of bounded random variables
Probability
2017-01-17 v3 Statistics Theory
Statistics Theory
Abstract
Let be independent (not necessarily identically distributed) zero-mean random variables (r.v.'s) such that almost surely for all , and let stand for a standard normal r.v. Let be any real numbers such that It is shown that then where . The proof relies on (i) another probability inequality and (ii) a l'Hospital-type rule for monotonicity, both developed elsewhere. A multidimensional analogue of this result is given, based on a dimensionality reduction device, also developed elsewhere. In addition, extensions to (super)martingales are indicated.
Cite
@article{arxiv.math/0603030,
title = {On inequalities for sums of bounded random variables},
author = {Iosif Pinelis},
journal= {arXiv preprint arXiv:math/0603030},
year = {2017}
}
Comments
6 pages; the result in the previous version is strengthened and extended