How uncertain do we need to be?
type: Item
instance of: scholarly article
title: How uncertain do we need to be?
zbMATH Open document ID: 1329.03043
author: Jon Williamson
published in: Erkenntnis
publication date: 2016-01-27T00:00:00Z
Mathematics Subject Classification ID: 03A10
Mathematics Subject Classification ID: 62C10
Mathematics Subject Classification ID: 91B06
zbMATH DE Number: 6535995
Wikidata QID: Q59399978
MaRDI profile type: Publication
full work available at URL: s10670-013-9516-6
OpenAlex ID: W2013004850
cites work: Prediction, Learning, and Games
cites work: De Finetti's theorem for Markov chains
cites work: Probabilities over rich languages, testing and randomness
cites work: Philosophy and the practice of Bayesian statistics
cites work: Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
cites work: Modelling uncertain inference
cites work: Information Theory and Statistical Mechanics
cites work: Common sense and maximum entropy
cites work: Theory of statistics
cites work: On efficient probability forecasting systems
cites work: Uncertainty in weather and climate prediction
cites work: Decision making under uncertainty using imprecise probabilities
cites work: In Defence of Objective Bayesianism
cites work: Why frequentists and Bayesians need each other
DOI: 10.1007/S10670-013-9516-6
description: scientific article; zbMATH DE number 6535995