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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ftunivnantes: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) 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) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) 2017-06-20 https://hal.science/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.science/hal-01574997 doi:10.1007/s10144-017-0586-1 ISSN: 1438-3896 EISSN: 1438-390X Population Ecology https://hal.science/hal-01574997 Population Ecology, 2017, 59 (3), pp.287-291. ⟨10.1007/s10144-017-0586-1⟩ Animal demography Population dynamics Principal-component capture–recapture model Snow petrel Survival estimation [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2017 ftunivnantes https://doi.org/10.1007/s10144-017-0586-1 2023-03-01T05:45:54Z 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 Université de Nantes: HAL-UNIV-NANTES Population Ecology 59 3 287 291 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Animal demography Population dynamics Principal-component capture–recapture model Snow petrel Survival estimation [SDE]Environmental Sciences |
spellingShingle |
Animal demography Population dynamics Principal-component capture–recapture model Snow petrel Survival estimation [SDE]Environmental Sciences Gimenez, Olivier, Barbraud, Christophe Dealing with many correlated covariates in capture–recapture models. |
topic_facet |
Animal demography Population dynamics Principal-component capture–recapture model Snow petrel Survival estimation [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) 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) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) |
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.science/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.science/hal-01574997 Population Ecology, 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.science/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 |
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1766197619050151936 |