Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses

Synthese 57 (3):341 - 365 (1983)
It is argued that we need a richer version of Bayesian decision theory, admitting both subjective and objective probabilities and providing rational criteria for choice of our prior probabilities. We also need a theory of tentative acceptance of empirical hypotheses. There is a discussion of subjective and of objective probabilities and of the relationship between them, as well as a discussion of the criteria used in choosing our prior probabilities, such as the principles of indifference and of maximum entropy, and the simplicity ranking of alternative hypotheses.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
Download options
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 14,230
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA
Edwin T. Jaynes (1968). Prior Probabilities. Ieee Transactions on Systems and Cybernetics (3):227-241.
Harold Jeffreys (1973). Scientific Inference. Cambridge [Eng.]Cambridge University Press.
Citations of this work BETA
Similar books and articles

Monthly downloads

Added to index


Total downloads

43 ( #62,129 of 1,699,596 )

Recent downloads (6 months)

3 ( #206,271 of 1,699,596 )

How can I increase my downloads?

My notes
Sign in to use this feature

Start a new thread
There  are no threads in this forum
Nothing in this forum yet.