دورية أكاديمية

A Test for the Underlying State-Structure of Hidden Markov Models: Partially Observed Capture-Recapture Data

التفاصيل البيبلوغرافية
العنوان: A Test for the Underlying State-Structure of Hidden Markov Models: Partially Observed Capture-Recapture Data
المؤلفون: Anita Jeyam, Rachel S. McCrea, Roger Pradel
المصدر: Frontiers in Ecology and Evolution, Vol 9 (2021)
بيانات النشر: Frontiers Media S.A., 2021.
سنة النشر: 2021
المجموعة: LCC:Evolution
LCC:Ecology
مصطلحات موضوعية: multievent model, capture-recapture, partial observations, mixture of multinomials, Hidden markov model, Evolution, QH359-425, Ecology, QH540-549.5
الوصف: Hidden Markov models (HMMs) are being widely used in the field of ecological modeling, however determining the number of underlying states in an HMM remains a challenge. Here we examine a special case of capture-recapture models for open populations, where some animals are observed but it is not possible to ascertain their state (partial observations), whilst the other animals' states are assigned without error (complete observations). We propose a mixture test of the underlying state structure generating the partial observations, which assesses whether they are compatible with the set of states observed in the complete observations. We demonstrate the good performance of the test using simulation and through application to a data set of Canada Geese.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-701X
Relation: https://www.frontiersin.org/articles/10.3389/fevo.2021.598325/full; https://doaj.org/toc/2296-701X
DOI: 10.3389/fevo.2021.598325
URL الوصول: https://doaj.org/article/52e2b8bea37d49a9ae9636a1542be52b
رقم الأكسشن: edsdoj.52e2b8bea37d49a9ae9636a1542be52b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296701X
DOI:10.3389/fevo.2021.598325