Tractable maximum likelihood estimation for latent structure influence models with applications to eeg & ecog processing

HIGHLIGHTS

  • who: LICENSE and colleagues from the (UNIVERSITY) have published the paper: Tractable Maximum Likelihood Estimation for Latent Structure Influence Models with Applications to EEG & ECoG processing, in the Journal: (JOURNAL)
  • what: The authors develop an auxiliary function to prove the convergence for LSIMs theoretically. The authors show that this auxiliary function has a unique global maximum, expressed in a closed-form expression called the re-estimation transformation. The dataset and preprocessing used in this work are made available for download on the EPFL BCI group. The aim of this dataset is to study the performance . . .

     

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