A Distributional Identity for the Bivariate Brownian Bridge: A Nontensor Gaussian Field
The bivariate Brownian bridge, a nontensor Gaussian Field, is defined by B(t1,t2)=W(t1,t2)W(1,1)=0=W(t1,t2)-t1t2W(1,1), where t1,t2∈I=[0,1] and W(t1,t2) is a Brownian sheet. We obtain a distributional identity, a consequence of the Karhunen-Loève expansion for the bivariate Brownian bridge by Fredho...
Main Author: | Xiaohui Ai |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/9687039 |
Similar Items
-
Estimation of a Bivariate Geometric Brownian Motion with Change-points
by: Ya-HungLu, et al.
Published: (2010) -
Bivariate Inverse Gaussian Model
by: Z.M. Huang, et al.
Published: (1999) -
Bivariate Gaussian models for wind vectors in a distributional regression framework
by: M. N. Lang, et al.
Published: (2019-07-01) -
A New Process Capability Index for Bivariate Non-Gaussian Distributions
by: Wei-Chun Hung, et al.
Published: (2012) -
Gaussian random fields related to Levy's Brownian motion : representations and expansions
by: Rode, Erica S.
Published: (2013)