Abstract
In this paper, we propose a novel method for the classification of so-called panel data. Our approach is based on a notion of the -complexity of continuous vector-functions. The proposed methodology does not use any prior information on data-generating mechanisms, therefore, can be utilized for multidimensional time series of arbitrary nature. We demonstrate the performance of our methodology on simulations.
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