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arXiv · 1804.10084

Concentration of Lipschitz Functions of Negatively Dependent Variables

Kevin Garbe·Jan Vondrak
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Abstract

We explore the question whether Lipschitz functions of random variables under various forms of negative correlation satisfy concentration bounds similar to McDiarmid's inequality for independent random variables. We prove such a concentration bound for random variables satisfying the condition of negative regression, correcting an earlier proof by Dubhashi and Ranjan.

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Kevin Garbe, Jan Vondrak. 2018-04-21. Concentration of Lipschitz Functions of Negatively Dependent Variables. https://arxiv.org/abs/1804.10084

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