Author
Primary ORCID profile (0000-0003-0596-9112 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints
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3 papers
Recent·Most cited
Olivier Chabrol, Gilles Didier
The paper introduces a novel method to identify evolutionary shifts in quantitative characters by using an asymmetric version of linear parsimony, showing it can produce splits consistent with previous stochastic methods.
bioRxiv · Sep 5, 2017 · PreprintEvolutionary Biology
Manuela Royer-Carenzi, Gilles Didier
The paper compares ancestral state reconstruction methods for quantitative characters and finds that maximum likelihood is most accurate, while performance declines with increasing evolutionary drift.
bioRxiv · Jan 25, 2016Evolutionary Biology
Gilles Didier, Marine Fau, Michel Laurin
The paper proposes a method to estimate diversification rates using only fossil ages in phylogenetic trees, showing it is nearly as accurate as methods using all temporal data.
bioRxiv · Sep 25, 2015 · PreprintEvolutionary Biology