ON THE TRUTH-CONVERGENCE OF OPEN-MINDED BAYESIANISM
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Publication:5065137
DOI10.1017/S1755020321000022zbMath1482.62023OpenAlexW3131474334MaRDI QIDQ5065137
Rianne de Heide, Tom F. Sterkenburg
Publication date: 18 March 2022
Published in: The Review of Symbolic Logic (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s1755020321000022
Cites Work
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- New theory about old evidence. A framework for open-minded Bayesianism
- Clark Glymour's responses to the contributions to the Synthese special issue ``Causation, probability, and truth: the philosophy of Clark Glymour
- Weak and strong merging of opinions
- Hypotheses and inductive predictions
- Putnam's diagonal argument and the impossibility of a universal learning machine
- Rational Learning Leads to Nash Equilibrium
- MERGING OF OPINIONS AND PROBABILITY KINEMATICS
- Prediction with Expert Evaluators’ Advice
- Self-Calibrating Priors Do Not Exist
- Merging of Opinions with Increasing Information
- The Well-Calibrated Bayesian
- Probabilities over rich languages, testing and randomness
- Philosophy and the practice of Bayesian statistics
- Compatible Measures and Merging
- Prediction, Learning, and Games
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