Semiparametric Regression in Capture-Recapture Modeling

International audience 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 e...

Full description

Bibliographic Details
Published in:Biometrics
Main Authors: Gimenez, O, Crainiceanu, C, Barbraud, C, Jenouvrier, S, Morgan, B
Other Authors: Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Johns Hopkins University (JHU), Centre d'Études Biologiques de Chizé (CEBC), Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2006
Subjects:
environmental covariates
penalized splines
Auxiliary variables
Bayesian inference
Demographic rates
WinBUGS
[MATH]Mathematics [math]
[SDE]Environmental Sciences
Terre Adélie
Terre-Adélie
Snow Petrels
Online Access:https://hal.science/hal-03498951
https://hal.science/hal-03498951/document
https://hal.science/hal-03498951/file/041220.pdf
https://doi.org/10.1111/j.1541-0420.2005.00514.x
Description
Summary:International audience 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 Adélie.

Similar Items