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20042023
most citedAbandon Statistical Significance

834 citations · 3.9k across the 95 of their papers we have counts for

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Showing 2016 · stat.MEShow all

5 papers · 2 filters

stat.ME2016★ 1 cited

Some comments about A Bayesian criterion for singular models by M. Drton and M. Plummer

Christian P. Robert, Judith Rousseau

These are written comments about the Read Paper A Bayesian criterion for singular models by M. Drton and M. Plummer, read to the Royal Statistical Society on October 5, 2016. The d…

stat.ME2016

Some comments about "Penalising model component complexity" by Simpson et al. (2017)

Christian P. Robert, Judith Rousseau

This note discusses the paper "Penalising model component complexity" by Simpson et al. (2017). While we acknowledge the highly novel approach to prior construction and commend the…

stat.ME2016★ 3 cited

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…

stat.ME2016

Some comments about James Watson's and Chris Holmes' "Approximate Models and Robust Decisions": Nonparametric Bayesian clay for robust decision bricks

Christian P. Robert, Judith Rousseau

This note discusses Watson and Holmes (2016) and their pro- posals towards more robust Bayesian decisions. While we acknowledge and commend the authors for setting new and all-enco…

stat.ME2016

Weakly informative reparameterisations for location-scale mixtures

Kaniav Kamary, Jeong Eun Lee, Christian P. Robert

While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those models still remains…