Information Geometry on Complexity and Stochastic Interaction
AbstractInterdependencies of stochastically interacting units are usually quantified by the Kullback-Leibler divergence of a stationary joint probability distribution on the set of all configurations from the corresponding factorized distribution. This is a spatial approach which does not describe the intrinsically temporal aspects of interaction. In the present paper, the setting is extended to a dynamical version where temporal interdependencies are also captured by using information geometry of Markov chain manifolds. View Full-Text
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Ay, N. Information Geometry on Complexity and Stochastic Interaction. Entropy 2015, 17, 2432-2458.
Ay N. Information Geometry on Complexity and Stochastic Interaction. Entropy. 2015; 17(4):2432-2458.Chicago/Turabian Style
Ay, Nihat. 2015. "Information Geometry on Complexity and Stochastic Interaction." Entropy 17, no. 4: 2432-2458.