An estimator of the number of change points based on a weak invariance principle

Christoph Kühn

Statistics & Probability Letters, 2001, vol. 51, issue 2, 189-196

Abstract: We study an estimator of the number of change points in the drift of a stochastic process based on the Schwarz criterion. In a general statistical model where the additive measurement noise satisfies a certain weak invariance principle (examples included are partial sums, renewal processes, and linear processes in time series analysis) consistency can be shown under the condition that the number of jumps is not greater than a given upper bound.

Keywords: Change; points; Change; in; the; mean; Schwarz; criterion; Invariance; principle; Partial; sum; Renewal; process; Linear; process (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00155-3
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:51:y:2001:i:2:p:189-196

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 ().