TY  - JOUR
AU  - Olivier Gimenez, Christophe Barbraud
PY  - 2017//
TI  - Dealing with many correlated covariates in capture–recapture models
KW  - Animal demography Population dynamics Principal-component capture–recapture model Snow petrel Survival estimation
N2  - Capture–recapture models for estimating demographic parameters allow covariates to be incorporated to better understand population dynamics. However, high-dimensionality and multicollinearity can hamper estimation and inference. Principal component analysis is incorporated within capture–recapture models and used to reduce the number of predictors into uncorrelated synthetic new variables. Principal components are selected by sequentially assessing their statistical significance. We provide an example on seabird survival to illustrate our approach. Our method requires standard statistical tools, which permits an efficient and easy implementation using standard software.
SN  - 1438-390X
SN  - 1438-390X
UR  - http://dx.doi.org/10.1007/s10144-017-0586-1
N1  - exported from refbase (http://publi.ipev.fr/polar_references/show.php?record=7160), last updated on Sun, 21 Jul 2024 09:08:01 +0200
ID  - OlivierGimenez2017
ER  -