First published 10/3/2026, 3:15:15 AM · Last updated 10/3/2026, 3:15:30 AM

Complexity–entropy causality plane analysis of time series generated by a modified nonlinear Langevin equation: Effects of persistence asymmetry, memory length, and nonlinearity

This 2026 journal article reports an analysis using the complexity–entropy causality plane applied to time series generated by a modified nonlinear Langevin equation, examining persistence asymmetry, memory length, and nonlinearity. Publisher and content type are given as Elsevier BV and journal article in the supplied source fields.

Categories: science-and-space

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 6/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 1/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 2/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 5/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The paper documents methodological analysis relevant to studies of stochastic time series and nonlinear dynamics.

Sources

Complexity–entropy causality plane analysis of time series generated by a modified nonlinear Langevin equation: Effects of persistence asymmetry, memory length, and nonlinearity

Report an issue