The Joint Distribution of Running Maximum of a Slepian Process
Pingjin Deng ()
Additional contact information
Pingjin Deng: Nankai University
Methodology and Computing in Applied Probability, 2018, vol. 20, issue 4, 1123-1135
Abstract:
Abstract Consider the Slepian process S defined by S(t) = B(t + 1) − B(t),t ∈ [0, 1] with B(t), t ∈ ℝ a standard Brownian motion. In this contribution we analyze the properties between the maximum m s = max 0 ≤ u ≤ s S ( u ) $m_{s}=\max \limits _{0\leq u\leq s}S(u)$ and the maximum m t = max 0 ≤ u ≤ t S ( u ) $m_{t}=\max \limits _{0\leq u\leq t}S(u)$ for 0 ≤ s
Keywords: Gaussian processes; Slepian processes; Running maximum; 60G15; 60G70 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-017-9594-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:metcap:v:20:y:2018:i:4:d:10.1007_s11009-017-9594-z
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-017-9594-z
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().