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A Connection between Gaussian Processes and Markov Processes

Dublin Core		PKP Metadata Items	Metadata for this Document
1.	Title	Title of document	A Connection between Gaussian Processes and Markov Processes
2.	Creator	Author's name, affiliation, country	Nathalie Eisenbaum; Universités Paris 6 et 7, France
3.	Subject	Discipline(s)
3.	Subject	Keyword(s)
4.	Description	Abstract	The Green function of a transient symmetric Markov process can be interpreted as the covariance of a centered Gaussian process. This relation leads to several fruitful identities in law. Symmetric Markov processes and their associated Gaussian process both benefit from these connections. Therefore it is of interest to characterize the associated Gaussian processes. We present here an answer to that question.
5.	Publisher	Organizing agency, location
6.	Contributor	Sponsor(s)
7.	Date	(YYYY-MM-DD)	2005-03-04
8.	Type	Status & genre	Peer-reviewed Article
8.	Type	Type
9.	Format	File format	PDF
10.	Identifier	Uniform Resource Identifier	http://ejp.ejpecp.org/article/view/238
10.	Identifier	Digital Object Identifier	10.1214/EJP.v10-238
11.	Source	Journal/conference title; vol., no. (year)	Electronic Journal of Probability; Vol 10
12.	Language	English=en
14.	Coverage	Geo-spatial location, chronological period, research sample (gender, age, etc.)
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