arXiv Analytics

Sign in

arXiv:1210.3248 [math.PR]AbstractReferencesReviewsResources

On the Concentration of the Missing Mass

Daniel Berend, Aryeh Kontorovich

Published 2012-10-11Version 1

A random variable is sampled from a discrete distribution. The missing mass is the probability of the set of points not observed in the sample. We sharpen and simplify McAllester and Ortiz's results (JMLR, 2003) bounding the probability of large deviations of the missing mass. Along the way, we refine and rigorously prove a fundamental inequality of Kearns and Saul (UAI, 1998).

Related articles: Most relevant | Search more
arXiv:1112.2117 [math.PR] (Published 2011-12-09, updated 2011-12-13)
How to Lose with Least Probability
arXiv:2410.13920 [math.PR] (Published 2024-10-17)
The Bernoulli structure of discrete distributions
arXiv:math/0509367 [math.PR] (Published 2005-09-16)
Game theoretic derivation of discrete distributions and discrete pricing formulas