Asymptotic behavior of conditional laws and moments of α-stable random vectors, with application to upcrossing intensities

成果类型:
Article
署名作者:
Albin, JMP; Leadbetter, MR
署名单位:
University of North Carolina; University of North Carolina Chapel Hill
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
发表日期:
1999
页码:
1468-1500
关键词:
random-variables sample paths
摘要:
We derive upper bounds for the conditional moment E{\ X \(e) \ Y = y} of a strictly alpha-stable random vector (X, Y) when alpha not equal 1 and rho less than or equal to 2 and prove weak convergence for the conditional law (X/u \ Y = u) as u --> infinity when alpha > 1. As an example of application, we derive a new result in crossing theory for ct-stable processes.