On the Azuma inequality in spaces of subgaussian of rank random variables
arXiv:1701.03099
Abstract
For let a function if and if . For a random variable let denote ; is a norm in a space of -subgaussian random variables which we call {\it subgaussian of rank random variables}. For we have the classic subgaussian random variables. The Azuma inequality gives an estimate on the probability of the deviations of a zero-mean martingale with bounded increments from zero. In its classic form is assumed that . In this paper it is shown a version of the Azuma inequality under assumption that is any subgaussian of rank random variable.
arXiv comment8 pages