Evaluating the Benefits of Bayesian Hierarchical Methods for Analyzing Heterogeneous Environmental Datasets: A Case Study of Marine Organic Carbon Fluxes

Evaluating the Benefits of Bayesian Hierarchical Methods for Analyzing Heterogeneous Environmental Datasets: A Case Study of Marine Organic Carbon Fluxes

Large compilations of heterogeneous environmental observations are increasingly available as public databases, allowing researchers to test hypotheses across datasets. Statistical complexities arise when analyzing compiled data due to unbalanced spatial sampling, variable environmental context, mixe...

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Bibliographic Details
Main Authors: Gregory L. Britten, Yara Mohajerani, Louis Primeau, Murat Aydin, Catherine Garcia, Wei-Lei Wang, Benoît Pasquier, B. B. Cael, François W. Primeau
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Environmental Science
Subjects:
data compilation
hierarchical model
bayesian
meta-analysis
shrinkage
prior
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2021.491636/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2021.491636/full

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