EconPapers    
Economics at your fingertips  
 

On high-level exceedances of i.i.d. random fields

Arvydas Astrauskas

Statistics & Probability Letters, 2001, vol. 52, issue 3, 271-277

Abstract: We study the asymptotic structure (almost sure and in probability) of high-level exceedances by i.i.d. random variables when . For a class of high levels, it is shown that the exceedances form an extremely rare subset in V. Connections with the asymptotic behaviour of extreme eigenvalues of random (discrete) Schrödinger operator on L2(V) are discussed.

Keywords: High-level; exceedances; Poisson-type; limit; theorem; Clustering; Random; Schrodinger; operator; Extreme; eigenvalues (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00211-X
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:52:y:2001:i:3:p:271-277

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:52:y:2001:i:3:p:271-277