Information Geometric Complexity of a Trivariate Gaussian Statistical Model

We evaluate the information geometric complexity of entropic motion on low-dimensional Gaussian statistical manifolds in order to quantify how difficult it is to make macroscopic predictions about systems in the presence of limited information. Specifically, we observe that the complexity of such en...

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Bibliographic Details
Main Authors: Domenico Felice, Carlo Cafaro, Stefano Mancini
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/16/6/2944