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.science/hal-02387535 https://hal.science/hal-02387535/document https://hal.science/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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ftsupagro:oai:HAL:hal-02387535v1 2024-09-15T18:00:55+00:00 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) Université Paul-Valéry - Montpellier 3 (UPVM)-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 de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - 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) 2020 https://hal.science/hal-02387535 https://hal.science/hal-02387535/document https://hal.science/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.science/hal-02387535 https://hal.science/hal-02387535/document https://hal.science/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.science/hal-02387535 Journal of the Royal Statistical Society: Series C Applied Statistics, 2020, 69 (2), pp.413-427. ⟨10.1111/rssc.12392⟩ Markovian transitions Goodness of fit Diagnostics [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2020 ftsupagro https://doi.org/10.1111/rssc.12392 2024-07-17T23:31:24Z 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 Portail HAL Institut Agro Montpellier Journal of the Royal Statistical Society Series C: Applied Statistics 69 2 413 427 |
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Portail HAL Institut Agro Montpellier |
op_collection_id |
ftsupagro |
language |
English |
topic |
Markovian transitions Goodness of fit Diagnostics [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
Markovian transitions Goodness of fit Diagnostics [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 |
Markovian transitions Goodness of fit Diagnostics [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) Université Paul-Valéry - Montpellier 3 (UPVM)-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 de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - 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) |
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.science/hal-02387535 https://hal.science/hal-02387535/document https://hal.science/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 |
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.science/hal-02387535 Journal of the Royal Statistical Society: Series C Applied Statistics, 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.science/hal-02387535 https://hal.science/hal-02387535/document https://hal.science/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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1810438107492777984 |