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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2014
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| 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 |