Assessing heterogeneity in transition propensity in multistate capture-recapture data
International audience Multistate capture-recapture models are a useful tool to help to understand the dynamics of movement within discrete capture-recapture data.The standard multistate capture-recapture model, however, relies on assumptions of homogeneity within the population with respect to surv...
Published in: | Journal of the Royal Statistical Society: Series C (Applied Statistics) |
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Online Access: | https://hal.archives-ouvertes.fr/hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535/document https://hal.archives-ouvertes.fr/hal-02387535/file/Jeyam%202019-Journal_of_the_Royal_Statistical_Society__Series_C_%28Applied_Statistics%29%20%281%29.pdf https://doi.org/10.1111/rssc.12392 |
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ftccsdartic:oai:HAL:hal-02387535v1 2023-05-15T15:48:56+02:00 Assessing heterogeneity in transition propensity in multistate capture-recapture data Jeyam, Anita McCrea, Rachel S. Pradel, Roger University of Kent Canterbury 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 ) 2020 https://hal.archives-ouvertes.fr/hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535/document https://hal.archives-ouvertes.fr/hal-02387535/file/Jeyam%202019-Journal_of_the_Royal_Statistical_Society__Series_C_%28Applied_Statistics%29%20%281%29.pdf https://doi.org/10.1111/rssc.12392 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/rssc.12392 hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535/document https://hal.archives-ouvertes.fr/hal-02387535/file/Jeyam%202019-Journal_of_the_Royal_Statistical_Society__Series_C_%28Applied_Statistics%29%20%281%29.pdf doi:10.1111/rssc.12392 info:eu-repo/semantics/OpenAccess ISSN: 0035-9254 EISSN: 1467-9876 Journal of the Royal Statistical Society: Series C Applied Statistics https://hal.archives-ouvertes.fr/hal-02387535 Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2020, 69 (2), pp.413-427. ⟨10.1111/rssc.12392⟩ Diagnostics Goodness of fit Markovian transitions [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.1111/rssc.12392 2021-11-21T00:58:20Z International audience Multistate capture-recapture models are a useful tool to help to understand the dynamics of movement within discrete capture-recapture data.The standard multistate capture-recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and transition probabilities. There are many ways in which this model can be generalized so some guidance on what is really needed is highly desirable. Within the paper we derive a new test that can detect heterogeneity in transition propensity and show its good power by using simulation and application to a Canada goose data set. We also demonstrate that existing tests which have traditionally been used to diagnose memory are in fact sensitive to other forms of transition heterogeneity and we propose modified tests which can distinguish between memory and other forms of transition heterogeneity. Article in Journal/Newspaper Canada Goose Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Canada Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 2 413 427 |
institution |
Open Polar |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Diagnostics Goodness of fit Markovian transitions [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
Diagnostics Goodness of fit Markovian transitions [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology Jeyam, Anita McCrea, Rachel S. Pradel, Roger Assessing heterogeneity in transition propensity in multistate capture-recapture data |
topic_facet |
Diagnostics Goodness of fit Markovian transitions [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience Multistate capture-recapture models are a useful tool to help to understand the dynamics of movement within discrete capture-recapture data.The standard multistate capture-recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and transition probabilities. There are many ways in which this model can be generalized so some guidance on what is really needed is highly desirable. Within the paper we derive a new test that can detect heterogeneity in transition propensity and show its good power by using simulation and application to a Canada goose data set. We also demonstrate that existing tests which have traditionally been used to diagnose memory are in fact sensitive to other forms of transition heterogeneity and we propose modified tests which can distinguish between memory and other forms of transition heterogeneity. |
author2 |
University of Kent Canterbury 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 ) |
format |
Article in Journal/Newspaper |
author |
Jeyam, Anita McCrea, Rachel S. Pradel, Roger |
author_facet |
Jeyam, Anita McCrea, Rachel S. Pradel, Roger |
author_sort |
Jeyam, Anita |
title |
Assessing heterogeneity in transition propensity in multistate capture-recapture data |
title_short |
Assessing heterogeneity in transition propensity in multistate capture-recapture data |
title_full |
Assessing heterogeneity in transition propensity in multistate capture-recapture data |
title_fullStr |
Assessing heterogeneity in transition propensity in multistate capture-recapture data |
title_full_unstemmed |
Assessing heterogeneity in transition propensity in multistate capture-recapture data |
title_sort |
assessing heterogeneity in transition propensity in multistate capture-recapture data |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.archives-ouvertes.fr/hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535/document https://hal.archives-ouvertes.fr/hal-02387535/file/Jeyam%202019-Journal_of_the_Royal_Statistical_Society__Series_C_%28Applied_Statistics%29%20%281%29.pdf https://doi.org/10.1111/rssc.12392 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Canada Goose |
genre_facet |
Canada Goose |
op_source |
ISSN: 0035-9254 EISSN: 1467-9876 Journal of the Royal Statistical Society: Series C Applied Statistics https://hal.archives-ouvertes.fr/hal-02387535 Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2020, 69 (2), pp.413-427. ⟨10.1111/rssc.12392⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/rssc.12392 hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535 https://hal.archives-ouvertes.fr/hal-02387535/document https://hal.archives-ouvertes.fr/hal-02387535/file/Jeyam%202019-Journal_of_the_Royal_Statistical_Society__Series_C_%28Applied_Statistics%29%20%281%29.pdf doi:10.1111/rssc.12392 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/rssc.12392 |
container_title |
Journal of the Royal Statistical Society: Series C (Applied Statistics) |
container_volume |
69 |
container_issue |
2 |
container_start_page |
413 |
op_container_end_page |
427 |
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