Greater than the sum of its parts: computationally flexible Bayesian hierarchical modeling

DOI10.1007/s13253-021-00485-9OpenAlexW3093969086MaRDI QIDQ2163535

Devin S. Johnson, Mevin B. Hooten, Brian M. Brost

Publication date: 10 August 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.12568

zbMATH Keywords

approximationBayesian hierarchical modelmeta-analysislinear mixed modelmultistage estimationBayesian MAP estimationintegrated population model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• JAGS
• BayesDA
• Program MARK
• RMark
• TMB
• nimble
• MARK

Cites Work

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• Asymptotic Statistics
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Hierarchical Models in Environmental Science
• Making Recursive Bayesian Inference Accessible
• Exact inference for integrated population modelling
• Bayesian computation: a summary of the current state, and samples backwards and forwards
• Hierarchical animal movement models for population‐level inference

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