A Hierarchical Bayesian Approach to Ecological Count Data: A Flexible Tool for Ecologists

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dc.contributor.authorFordyce, James
dc.contributor.authorGompert, Zachariah
dc.contributor.authorForister, Matthew L.
dc.contributor.authorNice, Chris C.
dc.date.accessioned2021-08-09T19:51:19Z
dc.date.available2021-08-09T19:51:19Z
dc.date.issued2011-11-21
dc.description.abstractMany ecological studies use the analysis of count data to arrive at biologically meaningful inferences. Here, we introduce a hierarchical Bayesian approach to count data. This approach has the advantage over traditional approaches in that it directly estimates the parameters of interest at both the individual-level and population-level, appropriately models uncertainty, and allows for comparisons among models, including those that exceed the complexity of many traditional approaches, such as ANOVA or non-parametric analogs. As an example, we apply this method to oviposition preference data for butterflies in the genus Lycaeides. Using this method, we estimate the parameters that describe preference for each population, compare the preference hierarchies among populations, and explore various models that group populations that share the same preference hierarchy.
dc.description.departmentBiology
dc.formatText
dc.format.extent7 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationFordyce, J. A., Gompert, Z., Forister, M. L., & Nice, C. C. (2011). A hierarchical Bayesian approach to ecological count data: A flexible tool for ecologists. PLoS One, 6(11), e26785.
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0026785
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/10877/14255
dc.language.isoen
dc.publisherPublic Library of Science
dc.rights.holder© 2011 Fordyce et al.
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.sourcePLoS One, 2011, Vol. 6, No. 11, Article e26785.
dc.subjectplants
dc.subjecteggs
dc.subjectoviposition
dc.subjectbird eggs
dc.subjectprobability distribution
dc.subjectastragalus
dc.subjectsimulation and modeling
dc.subjectanalysis of variance
dc.subjectBiology
dc.titleA Hierarchical Bayesian Approach to Ecological Count Data: A Flexible Tool for Ecologists
dc.typeArticle

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