Accurate rates of density estimators for continuous-time processes

D. Blanke and D. Bosq

Statistics & Probability Letters, 1997, vol. 33, issue 2, 185-191

Abstract: We specify necessary conditions for getting parametric convergence rate of kernel density estimators. For continuous-time processes observed over [0, T], we show that two possible exact rates are (ln T)/T and 1/T, according to the nature of sample paths.

Keywords: Nonparametric; estimation; Superoptimal; rate; Continuous-time; process; Kernel; density; estimator (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00126-5
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:2:p:185-191

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 ().