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Random variate generation for exponentially and polynomially tilted stable distributions

Published:04 November 2009Publication History
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Abstract

We develop exact random variate generators for the polynomially and exponentially tilted unilateral stable distributions. The algorithms, which generalize Kanter's method, are uniformly fast over all choices of the tilting and stable parameters. The key to the solution is a new distribution which we call Zolotarev's distribution. We also present a novel double rejection method that is useful whenever densities have an integral representation involving an auxiliary variable.

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  1. Random variate generation for exponentially and polynomially tilted stable distributions

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                cover image ACM Transactions on Modeling and Computer Simulation
                ACM Transactions on Modeling and Computer Simulation  Volume 19, Issue 4
                October 2009
                151 pages
                ISSN:1049-3301
                EISSN:1558-1195
                DOI:10.1145/1596519
                Issue’s Table of Contents

                Copyright © 2009 ACM

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                Publication History

                • Published: 4 November 2009
                • Accepted: 1 December 2008
                • Revised: 1 September 2008
                • Received: 1 December 2007
                Published in tomacs Volume 19, Issue 4

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