A generalised likelihood framework for partially observed capture-recapture-recovery models

Ruth King; R S McCrea

doi:10.1016/j.stamet.2013.07.004

A generalised likelihood framework for partially observed capture-recapture-recovery models

Ruth King, R S McCrea

Research output: Contribution to journal › Article › peer-review

Abstract

We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed. The corresponding su cient statistics are presented in addition to a matrix formulation which facilitates an e cient calculation of the likelihood. This likelihood framework provides a consistent and uni ed framework with many standard models applied to mark-recapture-recovery data as special cases.

Original language	English
Pages (from-to)	30-45
Journal	Statistical Methodology
Volume	17
Early online date	19 Jul 2013
DOIs	https://doi.org/10.1016/j.stamet.2013.07.004
Publication status	Published - 2014

Keywords

Capture-recapture-recovery data
Closed form likelihood
Multi-state
Partially observed states
Sufficient statistics

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10.1016/j.stamet.2013.07.004

KingMcCrea12R
Copyright © 2013 Elsevier B.V. This is the author's version of an article that was accepted for publication in Statistical Methodology. Changes resulting from the publishing process may not be reflected in this document. The published version is available from www.sciencedirect.com
Accepted author manuscript, 446 KB

Cite this

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abstract = "We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed. The corresponding su cient statistics are presented in addition to a matrix formulation which facilitates an e cient calculation of the likelihood. This likelihood framework provides a consistent and uni ed framework with many standard models applied to mark-recapture-recovery data as special cases. ",

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AB - We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed. The corresponding su cient statistics are presented in addition to a matrix formulation which facilitates an e cient calculation of the likelihood. This likelihood framework provides a consistent and uni ed framework with many standard models applied to mark-recapture-recovery data as special cases.

KW - Capture-recapture-recovery data

KW - Closed form likelihood

KW - Multi-state

KW - Partially observed states

KW - Sufficient statistics

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JO - Statistical Methodology

JF - Statistical Methodology

ER -

A generalised likelihood framework for partially observed capture-recapture-recovery models

Abstract

Keywords

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