EconPapers    
Economics at your fingertips  
 

Histogram maximum likelihood estimator in the multiplicative intensity model

Jacek Leskow and Roman Rózanski

Stochastic Processes and their Applications, 1989, vol. 31, issue 1, 151-159

Abstract: In the paper the maximum likelihood estimator of a deterministic function of the stochastic intensity of a point process is derived by the method of sieves. Consistency and asymptotic normality of this estimator are proved.

Keywords: point; process; maximum; likelihood; estimator; sieve; method; [psi]-mixing (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(89)90108-7
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:spapps:v:31:y:1989:i:1:p:151-159

Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Stochastic Processes and their Applications is currently edited by T. Mikosch

More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:spapps:v:31:y:1989:i:1:p:151-159