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Composite likelihood methods in statistical genetics

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Composite likelihood methods in statistical genetics. / Larribe, Fabrice; Fearnhead, Paul.
In: Statistica Sinica, Vol. 21, 2011, p. 43-69.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Larribe, F & Fearnhead, P 2011, 'Composite likelihood methods in statistical genetics', Statistica Sinica, vol. 21, pp. 43-69. <http://www3.stat.sinica.edu.tw/statistica/j21n1/J21N12/J21N12.html>

APA

Larribe, F., & Fearnhead, P. (2011). Composite likelihood methods in statistical genetics. Statistica Sinica, 21, 43-69. http://www3.stat.sinica.edu.tw/statistica/j21n1/J21N12/J21N12.html

Vancouver

Larribe F, Fearnhead P. Composite likelihood methods in statistical genetics. Statistica Sinica. 2011;21:43-69.

Author

Larribe, Fabrice ; Fearnhead, Paul. / Composite likelihood methods in statistical genetics. In: Statistica Sinica. 2011 ; Vol. 21. pp. 43-69.

Bibtex

@article{b187bca79acb46beab74f211f78d0849,
title = "Composite likelihood methods in statistical genetics",
abstract = "Due to the dimension and the dependency structure of genetic data, composite likelihood methods have found their natural place in the statistical methodo-logy involving such data. After a brief description of the type of data one encounters in population genetic studies, we introduce the questions of interest concerning the main genetic parameters in population genetics, and present an up-to-date review on how composite likelihoods have been used to estimate these parameters.",
keywords = "Association, coalescent process , composite likelihood , fine genetic mapping , linkage disequilibrium",
author = "Fabrice Larribe and Paul Fearnhead",
year = "2011",
language = "English",
volume = "21",
pages = "43--69",
journal = "Statistica Sinica",
issn = "1017-0405",
publisher = "Institute of Statistical Science",

}

RIS

TY - JOUR

T1 - Composite likelihood methods in statistical genetics

AU - Larribe, Fabrice

AU - Fearnhead, Paul

PY - 2011

Y1 - 2011

N2 - Due to the dimension and the dependency structure of genetic data, composite likelihood methods have found their natural place in the statistical methodo-logy involving such data. After a brief description of the type of data one encounters in population genetic studies, we introduce the questions of interest concerning the main genetic parameters in population genetics, and present an up-to-date review on how composite likelihoods have been used to estimate these parameters.

AB - Due to the dimension and the dependency structure of genetic data, composite likelihood methods have found their natural place in the statistical methodo-logy involving such data. After a brief description of the type of data one encounters in population genetic studies, we introduce the questions of interest concerning the main genetic parameters in population genetics, and present an up-to-date review on how composite likelihoods have been used to estimate these parameters.

KW - Association

KW - coalescent process

KW - composite likelihood

KW - fine genetic mapping

KW - linkage disequilibrium

M3 - Journal article

VL - 21

SP - 43

EP - 69

JO - Statistica Sinica

JF - Statistica Sinica

SN - 1017-0405

ER -