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goent - GO Implementation of Entropy Measures

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Measures for discrete state spaces

Averaged measures

  • Entropy

    • Shannon
    • Maximum Likelihood with Bias Correction
    • Horvitz-Thompson
    • Chao-Shen
  • Conditional Entropy

  • Mutual Information

  • Conditional Mutual Information

  • Max Entropy Estimations:

    • Iterative Scaling
  • Information Decomposition (Bertschinger et al., 2014) for binary variables

  • Morphological Computation measures have been moved to gomi https://github.com/kzahedi/gomi

State-dependent measures

Measures for continuous state spaces

Averaged measures

State-dependent measures

References:

  • T. M. Cover and J. A. Thomas. Elements of Information Theory, Volume 2nd. Wiley, Hoboken, New Jersey, USA, 2006.
  • I. Csiszar. i-divergence geometry of probability distributions and minimization problems. Ann. Probab., 3(1):146–158, 02 1975.
  • A. Chao and T.-J. Shen. Nonparametric estimation of shannon’s index of diversity when there are unseen species in sample. Environmental and Ecological Statistics, 10(4):429–443, 2003.
  • S. Frenzel and B. Pompe. Partial mutual information for coupling analysis of multivariate time series. Phys. Rev. Lett., 99:204101, Nov 2007.
  • A. Kraskov, H. Stoegbauer, and P. Grassberger. Estimating mutual information. Phys. Rev. E, 69:066138, Jun 2004. Bertschinger2013aQuantifying
  • N. Bertschinger, J. Rauh, E. Olbrich, J. Jost, and N. Ay, Quantifying unique information, CoRR, 2013

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