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Computational methods for Bayesian model choice

Computational methods for Bayesian model choice

29 July 2009
Christian P. Robert
Darren Wraith
ArXivPDFHTML

Papers citing "Computational methods for Bayesian model choice"

5 / 5 papers shown
Title
Liouville Flow Importance Sampler
Liouville Flow Importance Sampler
Yifeng Tian
Nishant Panda
Yen Ting Lin
28
8
0
03 May 2024
Nested sampling for physical scientists
Nested sampling for physical scientists
G. Ashton
N. Bernstein
Johannes Buchner
Xi Chen
Gábor Csányi
...
Leah F. South
J. Veitch
Philipp Wacker
D. Wales
David Yallup
31
76
0
31 May 2022
Marginal likelihood computation for model selection and hypothesis
  testing: an extensive review
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
F. Llorente
Luca Martino
D. Delgado
J. Lopez-Santiago
16
81
0
17 May 2020
Efficient Bayesian computation by proximal Markov chain Monte Carlo:
  when Langevin meets Moreau
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau
Alain Durmus
Eric Moulines
Marcelo Pereyra
12
173
0
22 Dec 2016
On the relevance of the Bayesian approach to Statistics
On the relevance of the Bayesian approach to Statistics
Christian P. Robert
57
8
0
29 Sep 2009
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