@techreport{89b5768dbbb44c2380aa89dd2edfb230,
title = "Improved Perfect Slice Sampling",
abstract = "Perfect slice sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random variates. The originally proposed method is rather slow and thus several improvements have been suggested. However, two of them are erroneous. In this article we give a short introduction to perfect slice sampling, point out incorrect methods, and give a new improved version of the original algorithm. (author's abstract)",
author = "Wolfgang H{\"o}rmann and Josef Leydold",
year = "2003",
language = "English",
series = "Preprint Series / Department of Applied Statistics and Data Processing",
publisher = "Department of Statistics and Mathematics, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business",
number = "49",
edition = "April 2003",
type = "WorkingPaper",
institution = "Department of Statistics and Mathematics, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business",
}