Functional neuroimaging relies on statistical inference to distinguish meaningful patterns of brain activity from high-dimensional, noisy data. Central to most analyses is the mass-univariate general ...
Selective inference addresses the problem of drawing valid conclusions after a data-driven selection of models or features. Traditional inferential procedures assume that the model under consideration ...
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