A stochastic equation for the law of the random Dirichlet variance
I. Epifani,
A. Guglielmi and
E. Melilli
Statistics & Probability Letters, 2006, vol. 76, issue 5, 495-502
Abstract:
This paper shows some new results concerning the law of the random variance V of a Dirichlet process P, expressed as the solution of a stochastic equation involving the squared difference between two independent copies of the mean of P. An explicit solution of this equation is obtained via the Zolotarev transform of V. Moreover, we discuss the correspondence between the distribution of the variance and the parameter of the Dirichlet process with given total mass.
Keywords: Distributions; of; functionals; of; Dirichlet; processes; Integral; transforms; Moments; of; a; distribution; Stochastic; equation (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00329-9
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:76:y:2006:i:5:p:495-502
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().