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Importance sampling schemes for evidence approximation in mixture models
v1v2 (latest)

Importance sampling schemes for evidence approximation in mixture models

23 November 2013
J. Lee
Christian P. Robert
ArXiv (abs)PDFHTML

Papers citing "Importance sampling schemes for evidence approximation in mixture models"

7 / 7 papers shown
Title
On the use of marginal posteriors in marginal likelihood estimation via
  importance-sampling
On the use of marginal posteriors in marginal likelihood estimation via importance-sampling
K. Perrakis
I. Ntzoufras
E. Tsionas
79
67
0
04 Nov 2013
Importance sampling methods for Bayesian discrimination between embedded
  models
Importance sampling methods for Bayesian discrimination between embedded models
Jean-Michel Marin
Christian P. Robert
104
60
0
13 Oct 2009
On resolving the Savage-Dickey paradox
On resolving the Savage-Dickey paradox
Jean-Michel Marin
Christian P. Robert
67
34
0
08 Oct 2009
Approximating the marginal likelihood in mixture models
Approximating the marginal likelihood in mixture models
Jean-Michel Marin
Christian P. Robert
89
21
0
15 Apr 2008
Properties of Nested Sampling
Properties of Nested Sampling
Nicolas Chopin
Christian P. Robert
137
116
0
25 Jan 2008
On some difficulties with a posterior probability approximation
  technique
On some difficulties with a posterior probability approximation technique
Christian P. Robert
Jean-Michel Marin
165
74
0
23 Jan 2008
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
156
393
0
23 Oct 2007
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