23 citations · 118 across the 21 of their papers we have counts for
4 papers · 1 filter
ABC random forests for Bayesian parameter inference
Louis Raynal, Jean-Michel Marin, Pierre Pudlo +3
This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100036). Approximate Bayesian computation (ABC) h…
Bayesian functional linear regression with sparse step functions
Paul-Marie Grollemund, Christophe Abraham, Meïli Baragatti +1
The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper foc…
Resampling: an improvement of Importance Sampling in varying population size models
Coralie Merle, Raphaël Leblois, François Rousset +1
Sequential importance sampling algorithms have been defined to estimate likelihoods in models of ancestral population processes. However, these algorithms are based on features of…
Hidden Gibbs random fields model selection using Block Likelihood Information Criterion
Julien Stoehr, Jean-Michel Marin, Pierre Pudlo
Performing model selection between Gibbs random fields is a very challenging task. Indeed, due to the Markovian dependence structure, the normalizing constant of the fields cannot…