DOI:10.1111/j.1541-0420.2005.00514.x Semiparametric Regression in Capture–Recapture Modeling

Summary. 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 surv...

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Bibliographic Details
Main Author: Kent Ct Nf
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2006
Subjects:
Key words
Auxiliary variables
Bayesian inference
Demographic rates
Environmental covariates
Penalized splines
Terre Adélie
Terre-Adélie
Snow Petrels
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.4191
http://www.whoi.edu/cms/files/Gimenez2006_49694.pdf
Description
Summary:Summary. 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.

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