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A Bayesian measure of association that utilizes the underlying distributions of noise and information
We propose a new approach, Bayesian Probability of Association (BPA) which takes into account the probability distributions of information and noise in the variables and uses Bayesian statistics to predict associations better than existing approaches. Our approach overcomes the limitations of linear...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097650/ https://www.ncbi.nlm.nih.gov/pubmed/30118488 http://dx.doi.org/10.1371/journal.pone.0201185 |