An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding
Lina Teichmann
Abstract
The purpose of Aperture is to enable a diverse approach to sharing and communicating high quality, community-based, open neuroscience while bringing transparency and interactivity to the publishing process.
Topics & Concepts
Bayes' theoremBayes factorMagnetoencephalographyFrequentist inferenceComputer scienceNaive Bayes classifierBayesian probabilityArtificial intelligenceMachine learningNeuroimagingMultivariate statisticsBayesian inferencePsychologyElectroencephalographyPsychiatrySupport vector machineNeural Networks and ApplicationsBlind Source Separation TechniquesFractal and DNA sequence analysis