Author: Sofia Morfopoulou; Vincent Plagnol
Title: Bayesian mixture analysis for metagenomic community profiling. Document date: 2014_7_25
ID: 058r9486_68
Snippet: where P (M k ) is the prior belief we hold for each model. The prior can be specified depending on the context but the basis of our interpretation is that parsimonious models with a limited number of species are more likely. Thus in this Bayesian framework our default prior uses a penalty limiting the number of species in the model......
Document: where P (M k ) is the prior belief we hold for each model. The prior can be specified depending on the context but the basis of our interpretation is that parsimonious models with a limited number of species are more likely. Thus in this Bayesian framework our default prior uses a penalty limiting the number of species in the model.
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