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  • 标题:Random variate generation for Laguerre-type exponentially tilted $\alpha$-stable distributions
  • 本地全文:下载
  • 作者:Stefano Favaro ; Bernardo Nipoti ; Yee Whye Teh
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:1230-1242
  • DOI:10.1214/15-EJS1033
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:Exact sampling methods have been recently developed for generating random variates for exponentially tilted $\alpha$-stable distributions. In this paper we show how to generate, exactly, random variates for a more general class of tilted $\alpha$-stable distributions, which is referred to as the class of Laguerre-type exponentially tilted $\alpha$-stable distributions. Beside the exponentially tilted $\alpha$-stable distribution, such a class includes also the Erlang tilted $\alpha$-stable distribution. This is a special case of the so-called gamma tilted $\alpha$-stable distribution, for which an efficient exact random variate generator is currently not available in the literature. Our result fills this gap.
  • 关键词:Exact random variate generation;exponentially tilted α-stable distribution;gamma tilted α-stable distribution;Laguerre polynomial;noncentral generalized factorial coefficient;rejection sampling.
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