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On the Relevance of the Bayesian Approach to Statistics

Authors :
Christian P. Robert
CEntre de REcherches en MAthématiques de la DEcision (CEREMADE)
Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Centre de Recherche en Économie et Statistique (CREST)
Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS)
ANR-08-BLAN-0218,BigMC,Méthodes de Monte Carlo en grande dimension(2008)
Source :
Review of Economic Analysis. 2(2):139-152
Publication Year :
2010

Abstract

We argue here about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. Our 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. We disregard in this essay the philosophical debates on the deeper meaning of probability and on the random nature of parameters as things of the past that do a disservice to the approach and are incomprehensible to most bystanders.<br />Comment: This paper is written in conjunction with the 3rd Bayesian econometrics meeting that took place at the Rimini Centre for Economic Analysis on July 01-02, 2009. A version will eventually be published in the Review of Economic Analysis

Details

Volume :
2
Issue :
2
Database :
OpenAIRE
Journal :
Review of Economic Analysis
Accession number :
edsair.doi.dedup.....50c6f63e7254524440d426c3f08ccd12