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On the Relevance of the Bayesian Approach to Statistics


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  • Christian P. Robert

    (Universite Paris-Dauphine, CEREMADE, and CREST)

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    In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. My main theme is that Bayesian data analysis is an effective tool for handling complex models, as proven by the increasing proportion of Bayesian studies in the applied sciences. I thus disregard the philosophical debates on the meaning of probability and on the random nature of parameters as things of the past that ultimately do a disservice to the approach and are irrelevant to most bystanders.

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    Bibliographic Info

    Article provided by Rimini Centre for Economic Analysis in its journal Review of Economic Analysis.

    Volume (Year): 2 (2010)
    Issue (Month): 2 (June)
    Pages: 139-152

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    Handle: RePEc:ren:journl:v:2:y:2010:i:2:p:139-152

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    Related research

    Keywords: Bayesian inference; Bayes model choice; foundations; testing; non-informative prior; Bayes factor; computational statistics;

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