• DOI:10.1103/PHYSREVE.65.041905
• Corpus ID: 6327943

Analysis of symbolic sequences using the Jensen-Shannon divergence.

@article{Grosse2002AnalysisOS,
  title={Analysis of symbolic sequences using the Jensen-Shannon divergence.},
  author={Ivo Grosse and Pedro Bernaola-Galv{\'a}n and Pedro Carpena and Ram{\'o}n Rom{\'a}n-Rold{\'a}n and Jos{\'e} L. Oliver and H. Eugene Stanley},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2002},
  volume={65 4 Pt 1},
  pages={
          041905
        }
}

• I. Grosse, P. Bernaola-Galván, +3 authors H. Stanley
• Published 25 March 2002
• Computer Science
• Physical review. E, Statistical, nonlinear, and soft matter physics

We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference between probability distributions, and which has been widely applied to analyses of symbolic sequences. We present three interpretations of D in the framework of statistical physics, information theory, and mathematical statistics, and obtain approximations of the mean, the variance, and the probability distribution of D in random, uncorrelated sequences. We present a segmentation method based on D that is able to segment a nonstationary symbolic sequence into stationary subsequences, and apply this method to DNA sequences, which are known to be nonstationary on a wide range of different length scales.