Optimal re-centering bounds, with applications to rosenthal-type concentration of measure inequalities
Document Type
Article
Publication Date
1-1-2013
Abstract
© Springer Basel 2013. All rights reserved. For any nonnegative Borel-measurable function f such that f (x) = 0 if and only if x = 0, the best constant Cf in the inequality Ef (X - E X) ≤ Cf E f (X) for all random variables X with a finite mean is obtained. Properties of the constant Cf in the case when f = π·πp for p > 0 are studied. Applications to concentration of measure in the form of Rosenthal-type bounds on the moments of separately Lipschitz functions on product spaces are given.
Publication Title
High Dimensional Probability VI: The Banff Volume
Recommended Citation
Pinelis, I.
(2013).
Optimal re-centering bounds, with applications to rosenthal-type concentration of measure inequalities.
High Dimensional Probability VI: The Banff Volume, 81-93.
http://doi.org/10.1007/978-3-0348-0490-5
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/4060