Network Decomposition and Complexity Measures: An Information Geometrical Approach
We consider the graph representation of the stochastic model with n binary variables, and develop an information theoretical framework to measure the degree of statistical association existing between subsystems as well as the ones represented by each edge of the graph representation. Besides, we co...
Main Author: | Masatoshi Funabashi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-07-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/16/7/4132 |
Similar Items
-
Network Complexity Measures. An Information-Theoretic Approach.
by: Matthias Dehmer, et al.
Published: (2015-04-01) -
Complex analysis : the geometric viewpoint /
by: 181645 Krantz, Steven G.
Published: (2004) -
Information Geometric Complexity of a Trivariate Gaussian Statistical Model
by: Domenico Felice, et al.
Published: (2014-05-01) -
Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines
by: Maxinder S. Kanwal, et al.
Published: (2017-07-01) -
Classical complex analysis : a geometric approach /
by: 534389 Lin, Yixiong
Published: (2011)