• Corpus ID: 52983739

EMHMM Simulation Study

  title={EMHMM Simulation Study},
  author={Antoni B. Chan and Janet Hui-wen Hsiao},
Eye Movement analysis with Hidden Markov Models (EMHMM) is a method for modeling eye fixation sequences using hidden Markov models (HMMs). In this report, we run a simulation study to investigate the estimation error for learning HMMs with variational Bayesian inference, with respect to the number of sequences and the sequence lengths. We also relate the estimation error measured by KL divergence and L1-norm to a corresponding distortion in the ground-truth HMM parameters. 
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Information Theory and Statistics