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Linear and nonlinear causality in financial markets

Haochun Ma, Davide Prosperino, Alexander Haluszczynski, Christoph Räth

Chaos 34, 113125 (2024)

https://doi.org/10.1063/5.0184267

Published: November 2024

View articletitled, Linear and nonlinear causality in financial markets

Journal Articles

A robust time-delay selection criterion applied to convergent cross mapping

R. S. Martin, C. M. Greve, C. E. Huerta, A. S. Wong, J. W. Koo, D. Q. Eckhardt

Chaos 34, 093110 (2024)

https://doi.org/10.1063/5.0209028

Published: September 2024

View articletitled, A robust time-delay selection criterion applied to convergent cross mapping

Journal Articles

Information transfers and flows in Markov chains as dynamical causal effects

Dmitry A. Smirnov

Chaos 34, 033130 (2024)

https://doi.org/10.1063/5.0189544

Published: March 2024

View articletitled, Information transfers and flows in Markov chains as dynamical causal effects

Journal Articles

Nonlinear causal network learning via Granger causality based on extreme support vector regression

Guanxue Yang, Weiwei Hu, Lidong He, Liya Dou

Chaos 34, 023127 (2024)

https://doi.org/10.1063/5.0183537

Published: February 2024

View articletitled, Nonlinear causal network learning via Granger causality based on extreme support vector regression

Journal Articles

Lag and duration of leader–follower relationships in mixed traffic using causal inference

David Demitri Africa, Ronald Benjamin Dy Quiangco, Clark Kendrick Go

Chaos 34, 013130 (2024)

https://doi.org/10.1063/5.0166785

Published: January 2024

View articletitled, Lag and duration of leader–follower relationships in mixed traffic using causal inference

Journal Articles

Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structural behavior

Leila Constanza Hernandez Rodriguez, Praveen Kumar

Chaos 33, 083139 (2023)

https://doi.org/10.1063/5.0131468

Published: August 2023

View articletitled, Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structural behavior

Journal Articles

CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting

Chuanqi Chen, Nan Chen, Jin-Long Wu

Chaos 33, 083114 (2023)

https://doi.org/10.1063/5.0154777

Published: August 2023

View articletitled, CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting

Journal Articles

Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Liufei Yang, Wei Lin, Siyang Leng

Chaos 33, 063101 (2023)

https://doi.org/10.1063/5.0144310

Published: June 2023

View articletitled, Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Includes: Supplementary data

Journal Articles

Identifying causality drivers and deriving governing equations of nonlinear complex systems

Haochun Ma, Alexander Haluszczynski, Davide Prosperino, Christoph Räth

Chaos 32, 103128 (2022)

https://doi.org/10.1063/5.0102250

Published: October 2022

View articletitled, Identifying causality drivers and deriving governing equations of nonlinear complex systems

Journal Articles

Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities

Igor I. Mokhov, Dmitry A. Smirnov

Chaos 32, 063128 (2022)

https://doi.org/10.1063/5.0088042

Published: June 2022

View articletitled, Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities

Journal Articles

Phase-based causality analysis with partial mutual information from mixed embedding

Ioannis Vlachos, Dimitris Kugiumtzis, Milan Paluš

Chaos 32, 053111 (2022)

https://doi.org/10.1063/5.0087910

Published: May 2022

View articletitled, Phase-based causality analysis with partial mutual information from mixed embedding

Journal Articles

A framework for causal discovery in non-intervenable systems

Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakraborty, Manuel Pulido

Chaos 31, 123128 (2021)

https://doi.org/10.1063/5.0054228

Published: December 2021

View articletitled, A framework for causal discovery in non-intervenable systems

Journal Articles

Measuring the importance of individual units in producing the collective behavior of a complex network

X. San Liang

Chaos 31, 093123 (2021)

https://doi.org/10.1063/5.0055051

Published: September 2021

View articletitled, Measuring the importance of individual units in producing the collective behavior of a complex network

Journal Articles

Causality indices for bivariate time series data: A comparative review of performance

Tom Edinburgh, Stephen J. Eglen, Ari Ercole

Chaos 31, 083111 (2021)

https://doi.org/10.1063/5.0053519

Published: August 2021

View articletitled, Causality indices for bivariate time series data: A comparative review of performance

Includes: Supplementary data

Journal Articles

Earthworm activity and its coupling to soil hydrology: A deterministic analysis

S. Mangiarotti, E. Fu, P. Jouquet, M. T. Tran, M. Huc, N. Bottinelli

Chaos 31, 013134 (2021)

https://doi.org/10.1063/5.0029969

Published: January 2021

View articletitled, Earthworm activity and its coupling to soil hydrology: A deterministic analysis

Includes: Supplementary data

Journal Articles

Quantifying interactions among car drivers using information theory

Subhradeep Roy

Chaos 30, 113125 (2020)

https://doi.org/10.1063/5.0023243

Published: November 2020

View articletitled, Quantifying interactions among car drivers using information theory

Journal Articles

Reconstructing regime-dependent causal relationships from observational time series

Elena Saggioro, Jana de Wiljes, Marlene Kretschmer, Jakob Runge

Chaos 30, 113115 (2020)

https://doi.org/10.1063/5.0020538

Published: November 2020

View articletitled, Reconstructing regime-dependent causal relationships from observational time series

Journal Articles

The extended Granger causality analysis for Hodgkin–Huxley neuronal models

Hong Cheng, David Cai, Douglas Zhou

Chaos 30, 103102 (2020)

https://doi.org/10.1063/5.0006349

Published: October 2020

View articletitled, The extended Granger causality analysis for Hodgkin–Huxley neuronal models

Includes: Supplementary data

Journal Articles

Maximum Markovian order detection for collective behavior

Yifan Zhang, Ge Wu, Xiaolu Liu, Wenwu Yu, Duxin Chen

Chaos 30, 083121 (2020)

https://doi.org/10.1063/5.0008397

Published: August 2020

View articletitled, Maximum Markovian order detection for collective behavior

Journal Articles

Detecting causality from time series in a machine learning framework

Yu Huang, Zuntao Fu, Christian L. E. Franzke

Chaos 30, 063116 (2020)

https://doi.org/10.1063/5.0007670

Published: June 2020

View articletitled, Detecting causality from time series in a machine learning framework

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Linear and nonlinear causality in financial markets

A robust time-delay selection criterion applied to convergent cross mapping

Information transfers and flows in Markov chains as dynamical causal effects

Nonlinear causal network learning via Granger causality based on extreme support vector regression

Lag and duration of leader–follower relationships in mixed traffic using causal inference

Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structural behavior

CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting

Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Identifying causality drivers and deriving governing equations of nonlinear complex systems

Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities

Phase-based causality analysis with partial mutual information from mixed embedding

A framework for causal discovery in non-intervenable systems

Measuring the importance of individual units in producing the collective behavior of a complex network

Causality indices for bivariate time series data: A comparative review of performance

Earthworm activity and its coupling to soil hydrology: A deterministic analysis

Quantifying interactions among car drivers using information theory

Reconstructing regime-dependent causal relationships from observational time series

The extended Granger causality analysis for Hodgkin–Huxley neuronal models

Maximum Markovian order detection for collective behavior

Detecting causality from time series in a machine learning framework

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