Comparison of Sums of independent Identically Distributed Random Variables
arXiv:math/9310214
Abstract
Let S_k be the k-th partial sum of Banach space valued independent identically distributed random variables. In this paper, we compare the tail distribution of ||S_k|| with that of ||S_j||, and deduce some tail distribution maximal inequalities. Theorem: There is universal constant c such that for j < k Pr(||S_j|| > t) <= c Pr(||S_k|| > t/c).
Cited by in corpus (6)
- Revisiting two strong approximation results of Dudley and Philipp
- The LIL for canonical U-statistics of order 2
- Moderate deviations for Poisson--Dirichlet distribution
- The LIL for canonical -statistics
- Quantile Treatment Effects and Bootstrap Inference under Covariate-Adaptive Randomization
- Measuring the magnitude of sums of independent random variables