arXiv:1206.5840 [math.PR]AbstractReferencesReviewsResources
On asymptotic constants in the theory of extremes for Gaussian processes
Published 2012-06-25, updated 2014-07-04Version 3
This paper gives a new representation of Pickands' constants, which arise in the study of extremes for a variety of Gaussian processes. Using this representation, we resolve the long-standing problem of devising a reliable algorithm for estimating these constants. A detailed error analysis illustrates the strength of our approach.
Comments: Published in at http://dx.doi.org/10.3150/13-BEJ534 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Journal: Bernoulli 2014, Vol. 20, No. 3, 1600-1619
DOI: 10.3150/13-BEJ534
Categories: math.PR
Keywords: gaussian processes, asymptotic constants, detailed error analysis illustrates, representation, reliable algorithm
Tags: journal article
Related articles: Most relevant | Search more
Stationary systems of Gaussian processes
arXiv:1505.04292 [math.PR] (Published 2015-05-16)
Exact confidence intervals of the extended Orey index for Gaussian processes
Asymptotic expansions for functions of the increments of certain Gaussian processes