papers
Publications (12)
stat.ME2018
ABC random forests for Bayesian parameter inference
Louis Raynal, Jean-Michel Marin, Pierre Pudlo +3
math.ST2011
The Normalized Graph Cut and Cheeger Constant: from Discrete to Continuous
Ery Arias-Castro, Bruno Pelletier, Pierre Pudlo
stat.ME2012
Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"
Christophe Andrieu, Simon Barthelme, Nicolas Chopin +11
math.ST2016
Resampling: an improvement of Importance Sampling in varying population size models
Coralie Merle, Raphaël Leblois, François Rousset +1
stat.ME2011
Monte Carlo algorithms for model assessment via conflicting summaries
Oliver Ratmann, Pierre Pudlo, Sylvia Richardson +1
stat.ML2015
Reliable ABC model choice via random forests
Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup +3
stat.CO2011
Approximate Bayesian Computational methods
Jean-Michel Marin, Pierre Pudlo, Christian P. Robert +1
stat.CO2013
Efficient learning in ABC algorithms
Mohammed Sedki, Pierre Pudlo, Jean-Michel Marin +2
stat.CO2014
Consistency of the Adaptive Multiple Importance Sampling
Jean-Michel Marin, Pierre Pudlo, Mohammed Sedki
stat.ME2016
Likelihood-free Model Choice
Jean-Michel Marin, Pierre Pudlo, Arnaud Estoup +1
stat.ML2010
Operator norm convergence of spectral clustering on level sets
Bruno Pelletier, Pierre Pudlo
stat.ME2017
Bayesian functional linear regression with sparse step functions
Paul-Marie Grollemund, Christophe Abraham, Meïli Baragatti +1