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Sampling from Dirichlet process mixture models with unknown
  concentration parameter: Mixing issues in large data implementations

Sampling from Dirichlet process mixture models with unknown concentration parameter: Mixing issues in large data implementations

5 April 2013
D. Hastie
S. Liverani
S. Richardson
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Papers citing "Sampling from Dirichlet process mixture models with unknown concentration parameter: Mixing issues in large data implementations"

3 / 3 papers shown
Title
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
60
153
0
12 Mar 2013
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick
  Breaking Representation
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation
I. Porteous
Alexander Ihler
Padhraic Smyth
Max Welling
49
30
0
27 Jun 2012
Retrospective Markov chain Monte Carlo methods for Dirichlet process
  hierarchical model
Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical model
O. Papaspiliopoulos
Gareth O. Roberts
140
393
0
23 Oct 2007
1