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A Bayesian Modelling Approach with Balancing Informative Prior for Analysing Imbalanced Data
When a dataset is imbalanced, the prediction of the scarcely-sampled subpopulation can be over-influenced by the population contributing to the majority of the data. The aim of this study was to develop a Bayesian modelling approach with balancing informative prior so that the influence of imbalance...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4829197/ https://ncbi.nlm.nih.gov/pubmed/27070549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0152700 |
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