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An overview on Approximate Bayesian computation

Authors: Baragatti, Meïli; Pudlo, Pierre;

An overview on Approximate Bayesian computation

Abstract

Les méthodes bayésiennes approchées constituent l’un des outils majeurs d’inférence statistique en dimension finie lorsque la vraisemblance du modèle paramétrique considéré n’est pas accessible. Nous présentons quelques résultats récents qui ont permis d’augmenter significativement l’efficacité de ces techniques depuis leurs introductions dans le domaine de la génétique des populations il y a maintenant plus d’une dizaine année

Approximate Bayesian computation techniques, also called likelihood-free methods, are one of the most satisfactory approach to intractable likelihood problems. This overview presents recent results since its introduction about ten years ago in population genetics

Country
France
Keywords

[SPI.OTHER]Engineering Sciences [physics]/Other, [STAT.AP]Statistics [stat]/Applications [stat.AP], multi-objective particle swarm optimization (mopso), [SPI.OTHER] Engineering Sciences [physics]/Other, Automatic, statistique bayésienne, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.AUTO] Engineering Sciences [physics]/Automatic, [STAT.AP] Statistics [stat]/Applications [stat.AP], Autre (Sciences de l'ingénieur), Applications, Statistique appliquée, statistique appliquée, Automatique / Robotique, algorithme

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Average
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