688 citations · 750 across the 5 of their papers we have counts for
5 papers
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…
Time-scales of close-in exoplanet radio emission variability
V. See, M. Jardine, R. Fares +2
We investigate the variability of exoplanetary radio emission using stellar magnetic maps and 3D field extrapolation techniques. We use a sample of hot Jupiter hosting stars, focus…
Likelihood-free Model Choice
Jean-Michel Marin, Pierre Pudlo, Arnaud Estoup +1
This document is an invited chapter covering the specificities of ABC model choice, intended for the incoming Handbook of ABC by Sisson, Fan, and Beaumont (2017). Beyond exposing t…
Reliable ABC model choice via random forests
Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup +3
Approximate Bayesian computation (ABC) methods provide an elaborate approach to Bayesian inference on complex models, including model choice. Both theoretical arguments and simulat…
Inferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation
Jean-Marie Cornuet, Filipe Santos, Mark A. Beaumont +5
Genetic data obtained on population samples convey information about their evolutionary history. Inference methods can extract this information (at least partially) but they requir…