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pro vyhledávání: '"Alamichel, Louise"'
Bayesian nonparametric mixture models are common for modeling complex data. While these models are well-suited for density estimation, recent results proved posterior inconsistency of the number of clusters when the true number of components is finit
Externí odkaz:
http://arxiv.org/abs/2210.14201
Akademický článek
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Publikováno v:
ISBA 2022-World Meeting International Society for Bayesian Analysis
ISBA 2022-World Meeting International Society for Bayesian Analysis, Jun 2022, Montreal, Canada
ISBA 2022-World Meeting International Society for Bayesian Analysis, Jun 2022, Montreal, Canada
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::2567b3b76e3860419563fa8fe71ee609
https://hal.science/hal-03866460
https://hal.science/hal-03866460
Publikováno v:
53es journées de Statistiques
53es journées de Statistiques, Société Française de Statistique, Jun 2022, Lyon, France
53es journées de Statistiques, Société Française de Statistique, Jun 2022, Lyon, France
International audience; Bayesian nonparametric mixture models are often employed for modelling complex data. While these models are well-suited for density estimation, their application for clustering has some limitations. Miller and Harrison (2014)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::33817d4fef2726cd15b18a3792a1539b
https://hal.science/hal-03866522/file/JDS___Bayesian_nonparametric_mixtures_inconsistency_for_the_number_of_clusters.pdf
https://hal.science/hal-03866522/file/JDS___Bayesian_nonparametric_mixtures_inconsistency_for_the_number_of_clusters.pdf