Asymptotic properties for Dirichlet processes indexed by a class of functions
Dixin Zhang
Statistics & Probability Letters, 1997, vol. 32, issue 1, 25-33
Abstract:
Suppose that is a class of functions. In this paper, we obtain the exponential upper boundaries of the tail probabilities of the largest deviations for Dirichlet processes (DP) indexed by and the strong uniform convergence rates of the processes, and prove the central limit theorems for Dirichlet processes.
Keywords: Dirichlet; process; Probability; inequality; Strong; uniform; convergence; rate; Central; limit; theorem (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00053-3
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:32:y:1997:i:1:p:25-33
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 ().