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Unfolding the Grammar of Bayesian Confirmation

Likelihood and Antilikelihood Principles

Bibliographic Data

ID10707259
AuthorsRoberto Festa (0000-0001-7021-0490, University of Trieste), Gustavo Cevolani (0000-0001-8770-8877, University of Trieste)
Year2017
Volume84
Issue1
Pages56-81
Publication date2017-01-01
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/688935
OpenAlexW2562925853
LanguageEN
Citations received2
References cited19

We explore the grammar of Bayesian confirmation by focusing on some likelihood principles, including the Weak Law of Likelihood. We show that none of the likelihood principles proposed so far is satisfied by all incremental measures of confirmation, and we argue that some of these measures indeed obey new, prima facie strange, antilikelihood principles. To prove this, we introduce a new measure that violates the Weak Law of Likelihood while satisfying a strong antilikelihood condition. We conclude by hinting at some relevant links between the likelihood principles considered here and other properties of Bayesian confirmation recently explored in the literature

Bayesian probability · Data mining · Econometrics · Epistemology · Grammar · Likelihood function · Likelihood principle · Linguistics · Marginal likelihood · Mathematical economics · Maximum likelihood · Measure (data warehouse) · Prima facie · Quasi-maximum likelihood · Statistics · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Philosophy · Philosophy and History of Science

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Citations per year0.25
Citation span2018 - 2020 (3)
Highly citedNo

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