English

Self-normalized Cramer type moderate deviations for martingales

Probability 2020-05-11 v2

Abstract

Let (ξi,Fi)i1(\xi_i,\mathcal{F}_i)_{i\geq1} be a sequence of martingale differences. Set Sn=i=1nξiS_n=\sum_{i=1}^n\xi_i and [S]n=i=1nξi2.[ S]_n=\sum_{i=1}^n \xi_i^2. We prove a Cram\'er type moderate deviation expansion for P(Sn/[S]nx)\mathbf{P}(S_n/\sqrt{[ S]_n} \geq x) as n+.n\to+\infty. Our results partly extend the earlier work of [Jing, Shao and Wang, 2003] for independent random variables.

Keywords

Cite

@article{arxiv.1712.04756,
  title  = {Self-normalized Cramer type moderate deviations for martingales},
  author = {Xiequan Fan and Ion Grama and Quansheng Liu and Qi-Man Shao},
  journal= {arXiv preprint arXiv:1712.04756},
  year   = {2020}
}
R2 v1 2026-06-22T23:16:51.457Z