2000 character limit reached
Concentration Inequalities for Bounded Random Vectors
Published 30 Aug 2013 in math.PR, cs.LG, math.ST, and stat.TH | (1309.0003v1)
Abstract: We derive simple concentration inequalities for bounded random vectors, which generalize Hoeffding's inequalities for bounded scalar random variables. As applications, we apply the general results to multinomial and Dirichlet distributions to obtain multivariate concentration inequalities.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.