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Modeling individual effects in the Cormack-Jolly-Seber Model: A state-space formulation

Biometrics

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Abstract

In population and evolutionary biology, there exists considerable interest in individual heterogeneity in parameters of demographic models for open populations. However, flexible and practical solutions to the development of such models have proven to be elusive. In this article, I provide a state-space formulation of open population capture-recapture models with individual effects. The state-space formulation provides a generic and flexible framework for modeling and inference in models with individual effects, and it yields a practical means of estimation in these complex problems via contemporary methods of Markov chain Monte Carlo. A straightforward implementation can be achieved in the software package WinBUGS. I provide an analysis of a simple model with constant parameter detection and survival probability parameters. A second example is based on data from a 7-year study of European dippers, in which a model with year and individual effects is fitted.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Modeling individual effects in the Cormack-Jolly-Seber Model: A state-space formulation
Series title:
Biometrics
Volume
64
Issue:
2
Year Published:
2008
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
364-370
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Biometrics
First page:
364
Last page:
370