Joint Bayesian Inference Reveals Model Properties Shared between Multiple Experimental Conditions

Statistical modeling produces compressed and often more easily interpretable descriptions of experimental data in form of model parameters. When experimental manipulations target selected parameters, it is necessary for their interpretation that other model components remain constant. For example, p...

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Detalles Bibliográficos
Autores principales: Dold, Hannah M. H., Fründ, Ingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977831/
https://www.ncbi.nlm.nih.gov/pubmed/24710070
http://dx.doi.org/10.1371/journal.pone.0091710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977831/
https://www.ncbi.nlm.nih.gov/pubmed/24710070
http://dx.doi.org/10.1371/journal.pone.0091710

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