Louis Raynal

ABC random forests for Bayesian parameter inference

Jean-Michel Marin, Christian P. Robert, Arnaud Estoup, 2019, Bioinform..

Model choice using Approximate Bayesian Computation and Random Forests: analyses based on model grouping to make inferences about the genetic history of Pygmy human populations

Jean-Michel Marin, Arnaud Estoup, Jean-Michel Marin, 2018 .

Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries.

Jukka-Pekka Onnela, Antonietta Mira, Sixing Chen, 2020, Bayesian analysis.

Bringing ABC inference to the machine learning realm : AbcRanger, an optimized random forests library for ABC

Arnaud Estoup, Jean-Michel Marin, Louis Raynal, 2020 .

Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation

Jukka-Pekka Onnela, Louis Raynal, 2021 .