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StatLearn 2013 - Workshop on "Challenging problems in Statistical Learning"Episode from the podcastStatLearn 2013 - Workshop on "Challenging problems in Statistical Learning"
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Released Thursday, 16th May 2013
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Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)

Thursday, 16th May 2013
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StatLearn 2013 - Workshop on "Challenging problems in Statistical Learning"

L'apprentissage statistique joue de nos jours un rôle croissant dans de nombreux domaines scientifiques et doit de ce fait faire face à des problèmes nouveaux. Il est par conséquent important de proposer des méthodes d'apprentissage statistique adaptées aux problèmes modernes posés par les différents champs d'application. Outre l'importance de la précision des méthodes proposées, elles devront également apporter une meilleure compréhension des phénomènes observés. Afin de faciliter les contacts entre les différentes communautés et de faire ainsi germer de nouvelles idées, un colloquium d'audience internationale (en langue anglaise) sur le thème «Challenging problems in Statistical Learning» a été organisé à l'Université Bordeaux Segalen les 8 et 9 avril 2013. Vous trouverez ci-dessous les enregistrements des exposés donnés lors de ce colloquium.Recommandé à : étudiant de la discipline, chercheur - Catégorie : cours podcast - Année de réalisation : 2013

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