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PReMiuM: An R Package for Profile Regression Mixture Models using
  Dirichlet Processes

PReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet Processes

12 March 2013
S. Liverani
D. Hastie
Lamiae Azizi
Michail Papathomas
S. Richardson
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Papers citing "PReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet Processes"

3 / 3 papers shown
Title
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
D. Hastie
S. Liverani
S. Richardson
51
62
0
05 Apr 2013
Colouring and breaking sticks: random distributions and heterogeneous
  clustering
Colouring and breaking sticks: random distributions and heterogeneous clustering
P. Green
54
7
0
21 Mar 2010
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