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New Axioms for Probability and Likelihood Ratio Measures

Dados Bibliográficos

ID8397245
AutoresVincenzo Crupi (0000-0003-3545-6289, Munich School of Philosophy), Nick Chater (0000-0002-9745-0686, University of Warwick), Katya Tentori (0000-0002-5968-9936, University of Trento)
Ano2013
Volume64
Fascículo1
Páginas189-204
Data de publicação2013-03-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoThe British Journal for the Philosophy of Science (JOURNAL)
Identificadores do periódicoISSN: 0007-0882 • E-ISSN: 1464-3537
EditoraOxford University Press (PUBLISHER • GB)
DOI10.1093/bjps/axs018
OpenAlexW2062518584
IdiomaEN
Citações recebidas10
Referências citadas42

Probability ratio and likelihood ratio measures of inductive support and related notions have appeared as theoretical tools for probabilistic approaches in the philosophy of science, the psychology of reasoning, and artificial intelligence. In an effort of conceptual clarification, several authors have pursued axiomatic foundations for these two families of measures. Such results have been criticized, however, as relying on unduly demanding or poorly motivated mathematical assumptions. We provide two novel theorems showing that probability ratio and likelihood ratio measures can be axiomatized in a way that overcomes these difficulties. 1 Introduction2 Axioms for Probability Ratio Measures3 Axioms for Likelihood Ratio Measures4 Discussion

Axiom · Axiomatic system · Econometrics · Mathematical economics · Probabilistic logic · Statistics · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Philosophy and History of Science · Probability and Statistical Research

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Obras citantes distintas10
Citações por ano0,83
Intervalo de citações2014 - 2023 (10)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 9
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