EXPONENTIAL INEQUALITIES FOR SELF-NORMALIZED MARTINGALES WITH APPLICATIONS

成果类型:
Article
署名作者:
Bercu, Bernard; Touati, Abderrahmen
署名单位:
Centre National de la Recherche Scientifique (CNRS); Inria; CNRS - National Institute for Mathematical Sciences (INSMI); Universite de Bordeaux; Universite de Carthage
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/07-AAP506
发表日期:
2008
页码:
1848-1869
关键词:
large deviation rates bounds
摘要:
We propose several exponential inequalities for self-normalized martingales similar to those established by De la Pena. The keystone is the introduction of a new notion of random variable heavy on left or right. Applications associated with linear regressions, autoregressive and branching processes are also provided.