467 citations · 481 across the 5 of their papers we have counts for
5 papers
Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment
Olivier Francois
The principle of peer review is central to the evaluation of research, by ensuring that only high-quality items are funded or published. But peer review has also received criticism…
abc: an R package for Approximate Bayesian Computation (ABC)
Katalin Csilléry, Olivier François, Michael GB Blum
Many recent statistical applications involve inference under complex models, where it is computationally prohibitive to calculate likelihoods but possible to simulate data. Approxi…
Non-linear regression models for Approximate Bayesian Computation
M. G. B. Blum, O. Francois
Approximate Bayesian inference on the basis of summary statistics is well-suited to complex problems for which the likelihood is either mathematically or computationally intractabl…
A continuous model for cell sorting
Mathieu Emily, Olivier Francois
The differential Adhesion Hypothesis (DAH) is a theory of the organization of cells within a tissue. In this study we introduce a stochastic model supporting the DAH, that can be s…
A mean-field analysis of community structure in social and kin networks
E. Durand, M. G. B Blum, O. Francois
We provide a mean-field analysis of community structure of social and biological networks assuming that actors are able to evaluate some tree-derived distance to the other actors a…