Statistical methods in data mining of brain dynamics
by Kammerdiner, Alla R., Ph.D., University of Florida, 2008 , 83 pages; AAT 3322926
Abstract (Summary)This study discusses statistical approaches used for data mining of multichannel electroencephalogram recordings. Such recordings represent massive data sets that contain hidden patterns of complex dynamical processes in the brain. Formally, multichannel EEG can be viewed as a multiple time series, and therefore, a natural idea for summarizing such data is to utilize autoregressive modeling of multivariate stochastic processes.
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