On the complexity of statistical models admitting correlations

DOI10.1088/0031-8949/82/03/035007zbMath1246.37056arXiv0905.2907OpenAlexW3124648717MaRDI QIDQ3162752

Stefano Mancini, Carlo Cafaro

Publication date: 21 October 2010

Published in: Physica Scripta (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0905.2907

zbMATH Keywords

diagonalization procedureinformation geometric compressionsystem macro-states

Mathematics Subject Classification ID

Gaussian processes (60G15) Other physical applications of random processes (60K40) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (3)

An information geometric perspective on the complexity of macroscopic predictions arising from incomplete information ⋮ Quantifying the complexity of geodesic paths on curved statistical manifolds through information geometric entropies and Jacobi fields ⋮ Theoretical investigations of an information geometric approach to complexity

This page was built for publication: On the complexity of statistical models admitting correlations