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Semiparametric regression in capture-recapture modeling

Gimenez, Olivier, Crainiceanu, C., Barbraud, C., Jenouvrier, S., Morgan, Byron J. T. (2006) Semiparametric regression in capture-recapture modeling. Biometrics, 62 (3). pp. 691-698. ISSN 0006-341X. (doi:10.1111/j.1541-0420.2005.00514.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:10504)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1111/j.1541-0420.2005.00514.x

Abstract

Capture-recapture models were developed to estimate survival using data arising from marking and monitoring wild animals over time. Variation in survival may be explained by incorporating relevant covariates. We propose nonparametric and semiparametric regression methods for estimating survival in capture-recapture models. A fully Bayesian approach using Markov chain Monte Carlo simulations was employed to estimate the model parameters. The work is illustrated by a study of Snow petrels, in which survival probabilities are expressed as nonlinear functions of a climate covariate, using data from a 40-year study on marked individuals, nesting at Petrels Island, Terre Adelie.

Item Type: Article
DOI/Identification number: 10.1111/j.1541-0420.2005.00514.x
Uncontrolled keywords: auxiliary variables; Bayesian inference; demographic rates; environmental covariates; penalized splines; WinBUGS
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 05 Sep 2008 20:14 UTC
Last Modified: 16 Nov 2021 09:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/10504 (The current URI for this page, for reference purposes)

University of Kent Author Information

Morgan, Byron J. T..

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