What is it about?
Discusses some theoretical objections to the practical Bayesian data analysis approach of Gelman and Shalizi.
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Why is it important?
Claims that model uncertainty is not completely resolved by finding no reason to reject a simpler model.
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This page is a summary of: Comment on Gelman and Shalizi, British Journal of Mathematical and Statistical Psychology, September 2012, Wiley,
DOI: 10.1111/j.2044-8317.2012.02065.x.
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