:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Leyva, I., Almendral, Juan A., Letellier, Christophe, Sendiña-Nadal, I.
Format:	Preprint
Publié:	2025
Sujets:	Chaotic Dynamics Data Analysis, Statistics and Probability
Accès en ligne:	https://arxiv.org/abs/2501.05202
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A taxonomy for generalized synchronization between flat-coupled systems
par: Letellier, Christophe, et autres
Publié: (2024)

Stochastic synchronization induced by noise
par: Song, Yunxiang, et autres
Publié: (2021)

From chaotic itinerancy to intermittent synchronization in complex networks
par: Leyva, I., et autres
Publié: (2025)

Lagrangian features of turbulent transport in tokamak plasmas
par: Palade, D. I.
Publié: (2025)

Entropy estimators for Markovian sequences: A comparative analysis
par: De Gregorio, Juan, et autres
Publié: (2023)

Quantifying the irregularity of a time series
par: Potratzki, Max, et autres
Publié: (2025)

Analog-based ensembles to characterize turbulent dynamics from observed data
par: Granero-Belinchon, Carlos
Publié: (2025)

Recurrence Patterns Correlation
par: Marghoti, Gabriel, et autres
Publié: (2025)

Universal Scaling Laws in Freeway Traffic
par: Lee, Garyoung, et autres
Publié: (2025)

Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensions
par: Kraemer, K. Hauke, et autres
Publié: (2025)

Classifying Complex Dynamical and Stochastic Systems via Physics-Based Recurrence Features
par: Silveira, J. V. M., et autres
Publié: (2025)

Transcript-based estimators for characterizing interactions
par: Adams, Manuel, et autres
Publié: (2025)

Eigenvector Geometry as a New Route to Criticality in Random Multiplicative Systems
par: Troude, Virgile, et autres
Publié: (2025)

Energy-efficient recurrence quantification analysis
par: Marwan, Norbert
Publié: (2025)

Approach to predicting extreme events in time series of chaotic dynamical systems using machine learning techniques
par: Andreani, Alexandre C., et autres
Publié: (2025)

Identifying statistical indicators of temporal asymmetry using a data-driven approach
par: Nogare, Teresa Dalle, et autres
Publié: (2025)

Distinguishing pairwise and higher-order interactions in coupled oscillators from time series
par: Su, Weiwei, et autres
Publié: (2025)

Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems
par: Lehnertz, Klaus
Publié: (2024)

Parameter and hidden-state inference in mean-field models from partial observations of finite-size neural networks
par: Ratas, Irmantas, et autres
Publié: (2026)

Multivariate Joint Recurrence Quantification Analysis: detecting coupling between time series of different dimensionalities
par: Wallot, Sebastian, et autres
Publié: (2023)

Disentangling synchrony from serial dependency in paired event time series
par: Odenweller, Adrian, et autres
Publié: (2019)

Challenges and perspectives in recurrence analyses of event time series
par: Marwan, Norbert
Publié: (2024)

Survival probability of random networks
par: Peralta-Martinez, Kevin, et autres
Publié: (2026)

Learning fluid physics from highly turbulent data using sparse physics-informed discovery of empirical relations (SPIDER)
par: Gurevich, Daniel R., et autres
Publié: (2021)

Time-Lagged Recurrence: a data-driven method to estimate the predictability of dynamical systems
par: Dong, Chenyu, et autres
Publié: (2024)

Unifying Lyapunov exponents with probabilistic uncertainty quantification
par: Blake, Liam, et autres
Publié: (2024)

Revealing dynamics of non-autonomous complex systems from data
par: Zhuge, Chengzuo, et autres
Publié: (2026)

Limits to extreme event forecasting in chaotic systems
par: Yuan, Yuan, et autres
Publié: (2024)

Causal analysis of inner and outer motions in near-wall turbulence
par: Zhang, Jingxuan, et autres
Publié: (2024)

A General Framework for Linking Free and Forced Fluctuations via Koopmanism
par: Lucarini, Valerio, et autres
Publié: (2025)

Identifying Extreme Events in the Stock Market: A Topological Data Analysis
par: Rai, Anish, et autres
Publié: (2024)

Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes
par: Soriano, Diogo C., et autres
Publié: (2026)

Large earthquake genesis processes observed with Physical Wavelets
par: Takeda, Fumihide
Publié: (2022)

Data-driven sequential analysis of tipping in high-dimensional complex systems
par: Hirose, Tomomasa, et autres
Publié: (2026)

Measuring dynamical phase transitions in time series
par: Sándor, Bulcsú, et autres
Publié: (2024)

Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
par: Massar, Serge
Publié: (2025)

A bibliographic view on recurrence plots and recurrence quantification analyses
par: Marwan, Norbert
Publié: (2025)

Complex network approaches to nonlinear time series analysis
par: Zou, Yong, et autres
Publié: (2025)

Spectral fluctuations and crossovers in multilayer network
par: Shekhar, Himanshu, et autres
Publié: (2025)

Phase transitions in swarm optimization algorithms
par: Vantuch, Tomáš, et autres
Publié: (2025)