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Bayesian nonparametric mixture inconsistency for the number of
  components: How worried should we be in practice?

Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?

29 July 2022
Yannis Chaumeny
Johan Van der Molen Moris
A. Davison
Paul D. W. Kirk
ArXiv (abs)PDFHTML

Papers citing "Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?"

12 / 12 papers shown
Title
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
55
22
0
16 Jul 2020
Posterior Distribution for the Number of Clusters in Dirichlet Process
  Mixture Models
Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models
Chiao-Yu Yang
Eric Xia
Nhat Ho
Michael I. Jordan
20
6
0
23 May 2019
Rank-normalization, folding, and localization: An improved $\widehat{R}$
  for assessing convergence of MCMC
Rank-normalization, folding, and localization: An improved R^\widehat{R}R for assessing convergence of MCMC
Aki Vehtari
Andrew Gelman
Daniel P. Simpson
Bob Carpenter
Paul-Christian Bürkner
52
932
0
19 Mar 2019
On posterior contraction of parameters and interpretability in Bayesian
  mixture modeling
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
Aritra Guha
Nhat Ho
X. Nguyen
55
56
0
15 Jan 2019
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS
  Algorithms
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
Erich Schubert
P. Rousseeuw
45
270
0
12 Oct 2018
Scalable Bayesian Nonparametric Clustering and Classification
Scalable Bayesian Nonparametric Clustering and Classification
Yang Ni
Peter Muller
M. Diesendruck
Sinead Williamson
Yitan Zhu
Yuan Ji
57
26
0
07 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
171
9,432
0
09 Feb 2018
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
87
75
0
25 Feb 2016
PReMiuM: An R Package for Profile Regression Mixture Models using
  Dirichlet Processes
PReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet Processes
S. Liverani
D. Hastie
Lamiae Azizi
Michail Papathomas
S. Richardson
73
153
0
12 Mar 2013
Bayesian Consensus Clustering
Bayesian Consensus Clustering
E. Lock
David B. Dunson
63
258
0
28 Feb 2013
Convergence of latent mixing measures in finite and infinite mixture
  models
Convergence of latent mixing measures in finite and infinite mixture models
X. Nguyen
96
184
0
15 Sep 2011
Bayesian finite mixtures: a note on prior specification and posterior
  computation
Bayesian finite mixtures: a note on prior specification and posterior computation
Agostino Nobile
102
21
0
03 Nov 2007
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