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Is infinity that far? A Bayesian nonparametric perspective of finite
  mixture models

Is infinity that far? A Bayesian nonparametric perspective of finite mixture models

22 April 2019
R. Argiento
Maria de Iorio
ArXiv (abs)PDFHTML

Papers citing "Is infinity that far? A Bayesian nonparametric perspective of finite mixture models"

3 / 3 papers shown
Title
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
A simple example of Dirichlet process mixture inconsistency for the
  number of components
A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W. Miller
M. Harrison
59
159
0
12 Jan 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
1