Philosophy and the practice of Bayesian statistics

AGAndrew GelmanCRCosma Rohilla Shalizi

Columbia University · Santa Fe Institute · +1 more institution

PubMed
Indexed inarxivcrossrefpubmed

Abstract

A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics. We argue that the most successful forms of Bayesian statistics do not actually support that particular philosophy but rather accord much better with sophisticated forms of hypothetico-deductivism. We examine the actual role played by prior distributions in Bayesian models, and the crucial aspects of model checking and model revision, which fall outside the scope of Bayesian confirmation theory. We draw on the literature on the consistency of Bayesian updating and also on our experience of…

Citation impact

594
total citations
FWCI
175.17
Percentile
100%
References
101
Citations per year

Authors

2
  • AG
    Andrew GelmanCorresponding

    Columbia University

  • CR
    Cosma Rohilla Shalizi

    Santa Fe Institute, Carnegie Mellon University

Topics & keywords

Keywords
  • Bayesian statistics
  • CLARITY
  • Bayesian probability
  • Bayesian inference
  • Consistency (knowledge bases)
  • Rationality
  • Frequentist inference
  • Bayesian experimental design
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