output
20172021
most citedSpreading of infections on random graphs: A percolation-type model for COVID-19

50 citations

5 papers

stat.OT2021

The case for balanced hypothesis tests and equal-tailed confidence intervals

André Gillibert, Jacques Bénichou, Bruno Falissard

Introduction: there is an ongoing debate about directional inference of two-sided hypothesis tests for which some authors argue that rejecting does not allow to conclude t…

stat.OT2021

Two-sided confidence interval of a binomial proportion: how to choose?

André Gillibert, Jacques Bénichou, Bruno Falissard

Introduction: estimation of confidence intervals (CIs) of binomial proportions has been reviewed more than once but the directional interpretation, distinguishing the overestimatio…

stat.ME2021

Best estimator for bivariate Poisson regression

André Gillibert, Jacques Bénichou, Bruno Falissard

INTRODUCTION: Wald's, the likelihood ratio (LR) and Rao's score tests and their corresponding confidence intervals (CIs), are the three most common estimators of parameters of Gene…

physics.soc-ph202050 cited

Spreading of infections on random graphs: A percolation-type model for COVID-19

Fabrizio Croccolo, H. Eduardo Roman

We introduce an epidemic spreading model on a network using concepts from percolation theory. The model is motivated by discussing the standard SIR model, with extensions to descri…

cs.IR20174 cited

OMICtools: a community-driven search engine for biological data analysis

Helene Perrin, Marion Denorme, Julien Grosjean +7

With high-throughput biotechnologies generating unprecedented quantities of data, researchers are faced with the challenge of locating and comparing an exponentially growing number…