Comparative Factor Analysis Models for an Empirical Study of Eeg Data, III: Resolution of Stationary Generating Signals with Confirmation by Variable Deletion

Abstract

This paper (the third in a series), reports the results obtained from the application of two distinct methods for the estimation of the four generating signals of a specific, large EEG dataset, in the context of the factor analysis model. These four signals were “detected” (though not resolved) in the work reported in the first paper in this series, where a “stability computation” determined the four dimensional subspace spanned by the four desired signals. The second paper discussed the “signal detection” method of resolving generating signals, and this paper presents another method of resolution, called “variable deletion.” The estimates of the four signals produced by these two techniques are in agreement with each other. Indirect evidence is presented that the EEG activity represented in terms of these four “signals” is generated by four stochastically independent random variables.