How uncertain do we need to be?

DOI10.1007/S10670-013-9516-6zbMath1329.03043OpenAlexW2013004850WikidataQ59399978 ScholiaQ59399978MaRDI QIDQ907889

Jon Williamson

Publication date: 27 January 2016

Published in: Erkenntnis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10670-013-9516-6

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Decision theory (91B06) Logic in the philosophy of science (03A10)

Related Items (3)

Making decisions with evidential probability and objective Bayesian calibration inductive logics ⋮ Invariant equivocation ⋮ What to do with a forecast?

Cites Work

• Unnamed Item
• Modelling uncertain inference
• Why frequentists and Bayesians need each other
• Decision making under uncertainty using imprecise probabilities
• De Finetti's theorem for Markov chains
• Common sense and maximum entropy
• Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
• Theory of statistics
• Information Theory and Statistical Mechanics
• In Defence of Objective Bayesianism
• Probabilities over rich languages, testing and randomness
• Philosophy and the practice of Bayesian statistics
• On efficient probability forecasting systems
• Prediction, Learning, and Games

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