| The humble Bayesian: Model checking from a fully Bayesian perspective. | |
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MedLine Citation:
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PMID: 23017054 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Gelman and Shalizi (2012) criticize what they call the 'usual story' in Bayesian statistics: that the distribution over hypotheses or models is the sole means of statistical inference, thus excluding model checking and revision, and that inference is inductivist rather than deductivist. They present an alternative hypothetico-deductive approach to remedy both shortcomings. We agree with Gelman and Shalizi's criticism of the usual story, but disagree on whether Bayesian confirmation theory should be abandoned. We advocate a humble Bayesian approach, in which Bayesian confirmation theory is the central inferential method. A humble Bayesian checks her models and critically assesses whether the Bayesian statistical inferences can reasonably be called upon to support real-world inferences. |
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Authors:
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Richard D Morey; Jan-Willem Romeijn; Jeffrey N Rouder |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-9-28 |
Journal Detail:
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Title: The British journal of mathematical and statistical psychology Volume: - ISSN: 2044-8317 ISO Abbreviation: Br J Math Stat Psychol Publication Date: 2012 Sep |
Date Detail:
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Created Date: 2012-9-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0004047 Medline TA: Br J Math Stat Psychol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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© 2012 The British Psychological Society. |
Affiliation:
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University of Groningen, The Netherlands. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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