A journal of the French Statistical Society SFdS - ISSN 2824-7795

This journal aims at promoting computational/algorithmic contributions in statistics and machine learning that provide insight into which models or methods are more appropriate to address a specific scientific question. In order to achieve this goal, Computo goes beyond classical static publications by leveraging technical advances in literate programming and scientific reporting.

More details about our philosophy.


Jan 9, 2024 Paper published by Armand Favrot and David Makowski, on MCMC estimation in a hierarchical model to evaluate pest treatments from prevalence and intensity data.
Dec 14, 2023 Paper published by Alice Cleynen, Louis Raynal, and Jean-Michel Marin, on local tree methods for classification.
Nov 21, 2023 Paper published by Maud Delattre and Estelle Kuhn, on computing an empirical Fisher information matrix estimate in latent variable models through stochastic approximation.
Jul 11, 2023 A new article stuck in the pipeline for a while finally published, by Edmond Sanou, Geneviève Robin and Christophe Ambroise. Worth the wait: a multiscale version of Graphical-Lasso.
Jun 21, 2023 We’re changing our peer-review platform 📰 to a fully free, open and communty-based solution with OpenReview. Don’t hesitate to send us feedback or contact us if you have any questions.