A Gaussian correlation inequality and its applications to the existence of small ball constant
Qi-Man Shao
Stochastic Processes and their Applications, 2003, vol. 107, issue 2, 269-287
Abstract:
Let X1,...,Xn be jointly Gaussian random variables with mean zero. It is shown that [for all]x>0 and [for all]1[less-than-or-equals, slant]k 0 such that for any 0 0 and y>0. As an application, it is proved that the small ball constant for the fractional Brownian motion of order [alpha] exists.
Keywords: Gaussian; correlation; conjecture; Small; ball; problem; Fraction; Brownian; motion (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(03)00084-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:spapps:v:107:y:2003:i:2:p:269-287
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 ().