reviewJan 1, 2010Closed access
Philosophy and the practice of Bayesian statistics
AGAndrew GelmanCRCosma Rohilla Shalizi
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…
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Authors
2- AGAndrew GelmanCorresponding
- CRCosma Rohilla Shalizi
Topics & keywords
Topics
Keywords
- Bayesian statistics
- Philosophy of science
- Bayesian probability
- CLARITY
- Bayesian inference
- Bayesian experimental design
- Consistency (knowledge bases)
- Rationality
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