activity
20112017
most citedBrain Network Analysis: Separating Cost from Topology using Cost-integration

210 citations · 232 across the 11 of their papers we have counts for

collaborators

13 papers

stat.ME2017

Stein-like Estimators for Causal Mediation Analysis in Randomized Trials

Cedric E. Ginestet, Richard Emsley, Sabine Landau

Causal mediation analysis aims to estimate the natural direct and indirect effects under clearly specified assumptions. Traditional mediation analysis based on Ordinary Least Squar…

stat.ME2015

Convex Combination of Ordinary Least Squares and Two-stage Least Squares Estimators

Cedric E. Ginestet, Richard Emsley, Sabine Landau

In the presence of confounders, the ordinary least squares (OLS) estimator is known to be biased. This problem can be remedied by using the two-stage least squares (TSLS) estimator…

stat.AP2014

Hypothesis Testing For Network Data in Functional Neuroimaging

Cedric E. Ginestet, Jun Li, Prakash Balachandran +2

In recent years, it has become common practice in neuroscience to use networks to summarize relational information in a set of measurements, typically assumed to be reflective of e…

stat.AP2014★ 7 cited

Percolation under Noise: Detecting Explosive Percolation Using the Second Largest Component

Wes Viles, Cedric E. Ginestet, Ariana Tang +2

We consider the problem of distinguishing classical (Erdős-Rényi) percolation from explosive (Achlioptas) percolation, under noise. A statistical model of percolation is constructe…

stat.AP2013★ 1 cited

Statistical Network Analysis for Functional MRI: Summary Networks and Group Comparisons

Cedric E. Ginestet, Arnaud P. Fournel, Andrew Simmons

Comparing weighted networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges of that network. This pr…

stat.AP2012

Group Analysis of Self-organizing Maps based on Functional MRI using Restricted Frechet Means

Arnaud P. Fournel, Emanuelle Reynaud, Michael J. Brammer +2

Studies of functional MRI data are increasingly concerned with the estimation of differences in spatio-temporal networks across groups of subjects or experimental conditions. Unsup…