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Classification of EEG recordings in auditory brain activity via a logistic functional linear regression model

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 Added by Irene Gannaz
 Publication date 2014
and research's language is English
 Authors Ir`ene Gannaz




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We want to analyse EEG recordings in order to investigate the phonemic categorization at a very early stage of auditory processing. This problem can be modelled by a supervised classification of functional data. Discrimination is explored via a logistic functional linear model, using a wavelet representation of the data. Different procedures are investigated, based on penalized likelihood and principal component reduction or partial least squares reduction.



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