Dealing with many correlated covariates in capture–recapture models.
International audience 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 wit...
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Online Access: | https://hal.archives-ouvertes.fr/hal-01574997 https://doi.org/10.1007/s10144-017-0586-1 |
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ftccsdartic:oai:HAL:hal-01574997v1 2023-05-15T18:20:08+02:00 Dealing with many correlated covariates in capture–recapture models. Gimenez, Olivier, Barbraud, Christophe Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD France-Sud ) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2017-06-20 https://hal.archives-ouvertes.fr/hal-01574997 https://doi.org/10.1007/s10144-017-0586-1 en eng HAL CCSD Springer Verlag info:eu-repo/semantics/altIdentifier/doi/10.1007/s10144-017-0586-1 hal-01574997 https://hal.archives-ouvertes.fr/hal-01574997 doi:10.1007/s10144-017-0586-1 ISSN: 1438-3896 EISSN: 1438-390X Population Ecology https://hal.archives-ouvertes.fr/hal-01574997 Population Ecology, Springer Verlag, 2017, 59 (3), pp.287-291. ⟨10.1007/s10144-017-0586-1⟩ Snow petrel Survival estimation Animal demography Population dynamics Principal-component capture–recapture model [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2017 ftccsdartic https://doi.org/10.1007/s10144-017-0586-1 2021-11-21T02:23:15Z International audience 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. Article in Journal/Newspaper Snow Petrel Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Population Ecology 59 3 287 291 |
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Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Snow petrel Survival estimation Animal demography Population dynamics Principal-component capture–recapture model [SDE]Environmental Sciences |
spellingShingle |
Snow petrel Survival estimation Animal demography Population dynamics Principal-component capture–recapture model [SDE]Environmental Sciences Gimenez, Olivier, Barbraud, Christophe Dealing with many correlated covariates in capture–recapture models. |
topic_facet |
Snow petrel Survival estimation Animal demography Population dynamics Principal-component capture–recapture model [SDE]Environmental Sciences |
description |
International audience 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. |
author2 |
Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD France-Sud ) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Gimenez, Olivier, Barbraud, Christophe |
author_facet |
Gimenez, Olivier, Barbraud, Christophe |
author_sort |
Gimenez, Olivier, |
title |
Dealing with many correlated covariates in capture–recapture models. |
title_short |
Dealing with many correlated covariates in capture–recapture models. |
title_full |
Dealing with many correlated covariates in capture–recapture models. |
title_fullStr |
Dealing with many correlated covariates in capture–recapture models. |
title_full_unstemmed |
Dealing with many correlated covariates in capture–recapture models. |
title_sort |
dealing with many correlated covariates in capture–recapture models. |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.archives-ouvertes.fr/hal-01574997 https://doi.org/10.1007/s10144-017-0586-1 |
genre |
Snow Petrel |
genre_facet |
Snow Petrel |
op_source |
ISSN: 1438-3896 EISSN: 1438-390X Population Ecology https://hal.archives-ouvertes.fr/hal-01574997 Population Ecology, Springer Verlag, 2017, 59 (3), pp.287-291. ⟨10.1007/s10144-017-0586-1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10144-017-0586-1 hal-01574997 https://hal.archives-ouvertes.fr/hal-01574997 doi:10.1007/s10144-017-0586-1 |
op_doi |
https://doi.org/10.1007/s10144-017-0586-1 |
container_title |
Population Ecology |
container_volume |
59 |
container_issue |
3 |
container_start_page |
287 |
op_container_end_page |
291 |
_version_ |
1766197619260915712 |