5 citations · 11 across the 5 of their papers we have counts for
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The Cluster Depth Tests: Toward Point-Wise Strong Control of the Family-Wise Error Rate in Massively Univariate Tests with Application to M/EEG
Jaromil Frossard, Olivier Renaud
The cluster mass test has been widely used for massively univariate tests in M/EEG, fMRI and, recently, pupillometry analysis. It is a powerful method for detecting effects while c…
Permutation Inference for Canonical Correlation Analysis
Anderson M. Winkler, Olivier Renaud, Stephen M. Smith +1
Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements. As…
Choosing the correlation structure of mixed effect models for experiments with stimuli
Jaromil Frossard, Olivier Renaud
The design of experiments in psychology can often be summarized to participants reacting to stimuli. For such an experiment, the mixed effects model with crossed random effects is…
Multiscale Bayesian State Space Model for Granger Causality Analysis of Brain Signal
Sezen Cekic, Didier Grandjean, Olivier Renaud
Modelling time-varying and frequency-specific relationships between two brain signals is becoming an essential methodological tool to answer heoretical questions in experimental ne…