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

Irène Gannaz

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arXiv · 1407.1195

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

Irène Gannaz

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Abstract

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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Irène Gannaz. 2014-07-04. Classification of EEG recordings in auditory brain activity via a logistic functional linear regression model. https://arxiv.org/abs/1407.1195

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