@techreport{5e9672c77acc494c8c957ebdf326fad3,
title = "A universal generator for discrete log-concave distributions",
abstract = "We give an algorithm that can be used to sample from any discrete log-concave distribution (e.g. the binomial and hypergeometric distributions). It is based on rejection from a discrete dominating distribution that consists of parts of the geometric distribution. The algorithm is uniformly fast for all discrete log-concave distributions and not much slower than algorithms designed for a single distribution. ",
author = "Wolfgang H{\"o}rmann",
year = "1993",
doi = "10.57938/5e9672c7-7acc-494c-8c95-7ebdf326fad3",
language = "English",
series = "Preprint Series / Department of Applied Statistics and Data Processing",
number = "8",
publisher = "Institut f{\"u}r Statistik und Mathematik, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business",
edition = "October 1993",
type = "WorkingPaper",
institution = "Institut f{\"u}r Statistik und Mathematik, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business",
}