Posterior Distribution for the Number of Clusters in Dirichlet Process
Mixture Models

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Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models

23 May 2019

Michael I. Jordan

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Papers citing "Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models"

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Title
On posterior contraction of parameters and interpretability in Bayesian mixture modeling Aritra Guha Nhat Ho X. Nguyen 55 56 0 15 Jan 2019
On the Bayes-optimality of F-measure maximizers Willem Waegeman Krzysztof Dembczyñski Arkadiusz Jachnik Weiwei Cheng Eyke Hullermeier 421 105 0 17 Oct 2013
Inconsistency of Pitman-Yor process mixtures for the number of components Jeffrey W. Miller M. Harrison 74 102 0 30 Aug 2013
A simple example of Dirichlet process mixture inconsistency for the number of components Jeffrey W. Miller M. Harrison 64 159 0 12 Jan 2013
Nested Hierarchical Dirichlet Processes John Paisley Chong-Jun Wang David M. Blei Michael I. Jordan BDL 106 235 0 25 Oct 2012
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density Judith Rousseau 104 79 0 11 Jan 2010
A sticky HDP-HMM with application to speaker diarization E. Fox Erik B. Sudderth Michael I. Jordan A. Willsky 107 380 0 15 May 2009
On rates of convergence for posterior distributions in infinite-dimensional models S. Walker Antonio Lijoi Igor Prunster 113 80 0 14 Aug 2007
Posterior convergence rates of Dirichlet mixtures at smooth densities S. Ghosal A. van der Vaart 320 231 0 14 Aug 2007
Convergence rates of posterior distributions for noniid observations S. Ghosal A. van der Vaart 376 397 0 03 Aug 2007