Where do Bayesian priors come from?

Synthese 156 (3):441-471 (2007)
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Abstract

Bayesian prior probabilities have an important place in probabilistic and statistical methods. In spite of this fact, the analysis of where these priors come from and how they are formed has received little attention. It is reasonable to excuse the lack, in the foundational literature, of detailed psychological theory of what are the mechanisms by which prior probabilities are formed. But it is less excusable that there is an almost total absence of a detailed discussion of the highly differentiating nature of past experience in forming a prior. The focus here is on what kind of account, even if necessarily schematic, can be given about the psychological mechanisms back of the formation of Bayesian priors. The last section examines a detailed experiment relevant to how priors are learned.

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Citations of this work

Peirce, Pedigree, Probability.Rush T. Stewart & Tom F. Sterkenburg - 2022 - Transactions of the Charles S. Peirce Society 58 (2):138-166.
The nature of probability.Patrick Suppes - 2010 - Philosophical Studies 147 (1):89 - 102.

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References found in this work

A treatise of human nature.David Hume & D. G. C. Macnabb (eds.) - 1969 - Harmondsworth,: Penguin Books.
The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
Truth and probability.Frank Ramsey - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 52-94.
The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.

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