A new framework integrates data assimilation and information-theoretic diagnostics to identify latent precursors, pathways, and mechanisms of extreme events in partially observed stochastic dynamical systems.
John Wiley & Sons
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
External periodic forcing drives large attractor expansions in the MLC circuit that produce extreme events, confirmed by manifold analysis, Floquet multipliers, and extreme-value statistics.
citing papers explorer
-
Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems
A new framework integrates data assimilation and information-theoretic diagnostics to identify latent precursors, pathways, and mechanisms of extreme events in partially observed stochastic dynamical systems.
-
Extreme events in MLC circuit
External periodic forcing drives large attractor expansions in the MLC circuit that produce extreme events, confirmed by manifold analysis, Floquet multipliers, and extreme-value statistics.