EconPapers    
Economics at your fingertips  
 

Extremes of Gaussian processes, on results of Piterbarg and Seleznjev

J. Hüsler

Statistics & Probability Letters, 1999, vol. 44, issue 3, 251-258

Abstract: For a particular sequence of Gaussian processes we consider the maximum Mn(T) up to time T and its limiting behaviour as T=T(n) and n converges to [infinity]. This sequence occurs in the approximation of the path of the continuous Gaussian process by broken lines. This limiting behaviour was analyzed by Piterbarg and Seleznjev assuming certain conditions. We improve their result assuming a weaker long-range dependence condition.

Keywords: Gaussian; processes; Maxima; Extreme; values; Exceedances; Poisson; point; process; Berman's; condition (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(99)00016-4
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:44:y:1999:i:3:p:251-258

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:44:y:1999:i:3:p:251-258