File:Example full and reduced priors.png

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English: Example priors. In a 'full' model, left, a parameter has a Gaussian prior with mean 0 and standard deviation 0.5. In a 'reduced' model, right, the same parameter has prior mean zero and standard deviation 1/1000. Bayesian model reduction enables the evidence and parameter(s) of the reduced model to be derived from the evidence and parameter(s) of the full model.
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Author Peterzlondon

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17 May 2018

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current18:38, 17 May 2018Thumbnail for version as of 18:38, 17 May 20182,609 × 1,428 (95 KB)wikimediacommons>PeterzlondonHigher resolution version

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