
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
[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
[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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