210 citations · 232 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…