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Orthogonality and probability: beyond nearest neighbor transitions

Dublin Core		PKP Metadata Items	Metadata for this Document
1.	Title	Title of document	Orthogonality and probability: beyond nearest neighbor transitions
2.	Creator	Author's name, affiliation, country	Yevgeniy V Kovchegov; Oregon State University
3.	Subject	Discipline(s)
3.	Subject	Keyword(s)	reversible Markov chains, orthogonal polynomials, Karlin-McGregor representation
3.	Subject	Subject classification	60G05, 05E35
4.	Description	Abstract	In this article, we will explore why Karlin-McGregor method of using orthogonal polynomials in the study of Markov processes was so successful for one dimensional nearest neighbor processes, but failed beyond nearest neighbor transitions. We will proceed by suggesting and testing possible fixtures.
5.	Publisher	Organizing agency, location
6.	Contributor	Sponsor(s)
7.	Date	(YYYY-MM-DD)	2009-02-16
8.	Type	Status & genre	Peer-reviewed Article
8.	Type	Type
9.	Format	File format	PDF
10.	Identifier	Uniform Resource Identifier	http://ecp.ejpecp.org/article/view/1447
10.	Identifier	Digital Object Identifier	10.1214/ECP.v14-1447
11.	Source	Journal/conference title; vol., no. (year)	Electronic Communications in Probability; Vol 14
12.	Language	English=en
14.	Coverage	Geo-spatial location, chronological period, research sample (gender, age, etc.)
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