Scalable spatio-temporal Bayesian analysis of high-dimensional electroencephalography data

We present a scalable Bayesian modelling approach for identifying brain regions that respond to a certain stimulus and use them to classify subjects. More specifically, we deal with multi-subject electroencephalography (EEG) data with a binary response distinguishing between alcoholic and control gr...

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