Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation-论文-万方医学网

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Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation

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第一作者： Muff Stefanie

作者： Muff Stefanie ^[1] ; Signer Johannes ^[2] ; Fieberg John ^[3] ; Wal Eric Vander

作者单位： Institute of Evolutionary Biology and Environmental StudiesUniversity of ZurichZurich,Switzerland ^[1] Wildlife SciencesUniversity of GoettingenGöttingen,Germany ^[2] Department of Fisheries, Wildlife, and Conservation BiologyUniversity of MinnesotaSt. Paul,MN,USA ^[3]

关键词 conditional logistic regression glmmTMB integrated nested Laplace approximations (INLA)multinomial regression random effects resource‐selection functions step‐selection functions

发布时间 2022-10-13

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Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation

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Accounting for individual‐specific variation in habitat‐selection studies: Efficient estimation of mixed‐effects models using Bayesian or frequentist computation

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