A Model for Positively Correlated Count Variables

Publikation: Forskning - peer reviewTidsskriftartikel

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A Model for Positively Correlated Count Variables. / Møller, Jesper ; Rubak, Ege Holger.

I: International Statistical Review, Vol. 78, Nr. 1, 2010, s. 65-80.

Publikation: Forskning - peer reviewTidsskriftartikel

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Author

Møller, Jesper ; Rubak, Ege Holger. / A Model for Positively Correlated Count Variables..

I: International Statistical Review, Vol. 78, Nr. 1, 2010, s. 65-80.

Publikation: Forskning - peer reviewTidsskriftartikel

Bibtex

@article{a5f675b0e97d11deb63d000ea68e967b,
title = "A Model for Positively Correlated Count Variables",
publisher = "Wiley-Blackwell Publishing Ltd.",
author = "Jesper Møller and Rubak, {Ege Holger}",
year = "2010",
volume = "78",
number = "1",
pages = "65--80",
journal = "International Statistical Review",
issn = "0306-7734",

}

RIS

TY - JOUR

T1 - A Model for Positively Correlated Count Variables

A1 - Møller,Jesper

A1 - Rubak,Ege Holger

AU - Møller,Jesper

AU - Rubak,Ege Holger

PB - Wiley-Blackwell Publishing Ltd.

PY - 2010///

Y1 - 2010///

N2 - An α-permanental random field is briefly speaking a model for a collection of non-negative integer valued random variables with positive associations. Though such models possess many appealing probabilistic properties, many statisticians seem unaware of α-permanental random fields and their potential applications. The purpose of this paper is to summarize useful probabilistic results, study stochastic constructions and simulation techniques, and discuss some examples of α-permanental random fields. This should provide a useful basis for discussing the statistical aspects in future work.

AB - An α-permanental random field is briefly speaking a model for a collection of non-negative integer valued random variables with positive associations. Though such models possess many appealing probabilistic properties, many statisticians seem unaware of α-permanental random fields and their potential applications. The purpose of this paper is to summarize useful probabilistic results, study stochastic constructions and simulation techniques, and discuss some examples of α-permanental random fields. This should provide a useful basis for discussing the statistical aspects in future work.

U2 - doi:10.1111/j.1751-5823.2009.00091.x

JO - International Statistical Review

JF - International Statistical Review

SN - 0306-7734

IS - 1

VL - 78

SP - 65

EP - 80

ER -