arXiv · 1812.10938
Variations and extensions of the Gaussian concentration inequality, Part I
Abstract
The classical Gaussian concentration inequality for Lipschitz functions is adapted to a setting where the classical assumptions (i.e. Lipschitz and Gaussian) are not met. The theory is more direct than much of the existing theory designed to handle related generalizations. An application is presented to linear combinations of heavy tailed random variables.
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Daniel J. Fresen. 2018-12-28. Variations and extensions of the Gaussian concentration inequality, Part I. https://arxiv.org/abs/1812.10938
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