EconPapers    
Economics at your fingertips  
 

Nonparametric inference for thinned point process

Nadia Bensaïd

Statistics & Probability Letters, 1997, vol. 33, issue 3, 253-258

Abstract: We consider possibly dependent data N1', ..., Nn' of the p-thinning N' of a point process N and construct estimators and of the thinning function p and of the Laplace functional of N. Under mixing conditions we prove the mean square convergence of , the uniform almost sure convergence of and and the asymptotic normality of .

Keywords: Point; process; Kernel; estimation; Mixing (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00134-4
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:33:y:1997:i:3:p:253-258

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:33:y:1997:i:3:p:253-258