Information Length Analysis of Linear Autonomous Stochastic Processes
When studying the behaviour of complex dynamical systems, a statistical formulation can provide useful insights. In particular, information geometry is a promising tool for this purpose. In this paper, we investigate the information length for <i>n</i>-dimensional linear autonomous stoch...
Main Authors: | Adrian-Josue Guel-Cortez, Eun-jin Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/11/1265 |
Similar Items
-
Causal Information Rate
by: Eun-jin Kim, et al.
Published: (2021-08-01) -
Information Geometric Theory in the Prediction of Abrupt Changes in System Dynamics
by: Adrian-Josue Guel-Cortez, et al.
Published: (2021-05-01) -
Effects of Stochastic Noises on Limit-Cycle Oscillations and Power Losses in Fusion Plasmas and Information Geometry
by: Rainer Hollerbach, et al.
Published: (2023-04-01) -
Structures in Sound: Analysis of Classical Music Using the Information Length
by: Schuyler Nicholson, et al.
Published: (2016-07-01) -
Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry
by: Abhiram Anand Thiruthummal, et al.
Published: (2022-08-01)