Comparison of weak and strong moments for vectors with independent coordinates
arXiv:1612.02407 · doi:10.1112/S0025579317000432
Abstract
We show that for , the -th moment of suprema of linear combinations of independent centered random variables are comparable with the sum of the first moment and the weak -th moment provided that -th and -th integral moments of these variables are comparable for all . The latest condition turns out to be necessary in the i.i.d. case.
15 pages
Cited by in corpus (8)
- On the convex infimum convolution inequality with optimal cost function
- Chevet-type inequalities for subexponential Weibull variables and estimates for norms of random matrices
- Norms of Randomized Circulant Matrices
- Bounding suprema of canonical processes via convex hull
- Operator norms of random matrices with iid entries
- Two-sided estimates for order statistics of log-concave random vectors
- Norms of structured random matrices
- Estimates of norms of log-concave random matrices with dependent entries