אריה קנטורוביץ

אקדמי בכיר

On the concentration of the missing mass

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).

שפת פרסום אנגלית
כתב עת Electronic Communications in Probability
כרך 18
סטטוס פרסום פורסם - 09.01.2013

Keywords

Concentration
Hoeffding inequality
Missing mass

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
גישה למסמך
10.1214/ECP.v18-2359
קבצים וקישורים אחרים
Link to publication in Scopus