Limit results for maxima in non-stationary multivariate Gaussian sequences
Jürg Hüsler and
Michel Schüpbach
Stochastic Processes and their Applications, 1988, vol. 28, issue 1, 91-99
Abstract:
Let {Xk, k[greater-or-equal, slanted]1} be a multivariate Gaussian sequence, and Mn be the partial maxima, taken componentwise, i.e. Mni=max{Xki,k[less-than-or-equals, slant]n}, for any i [less-than-or-equals, slant] p. We deal with the limiting behaviour of the distribution of Mn and show that, under certain conditions, this limit distribution is equal to the product of the marginal limit distributions of the Mni's or to the asymptotic product of the distributions of the Xk's.
Keywords: maxima; exceedances; multivariate; Gaussian; sequences; limit; laws (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(88)90067-1
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:28:y:1988:i:1:p:91-99
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 ().