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Disentangling high-order effects in the transfer entropy

Sebastiano Stramaglia1, Luca Faes2, Jesus M. Cortes3,4,5,6, and Daniele Marinazzo7

Cross-height causal dependence of horizontal wind components in offshore environment: insights from transfer entropy analysis

H.C. Deng, Z.R. Shu, P.W. Chan, and X.H. He

Sustainable Energy Technologies and Assessments 87 104890 (2026)

Characterizing multilevel wind interactions via transfer entropy analysis: Evidence from vertical and horizontal components

Z. R. Shu, H. C. Deng, Y. L. Yang, X. H. He, P. W. Chan, and H. L. Yang

Quart J Royal Meteoro Soc 152 e70146 (2026)

Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress

Chiara Barà, Laura Sparacino, Luca Faes, Michal Javorka, and Johannes Textor

PLoS Comput Biol 22 e1014075 (2026)

Transfer entropy characterization of causal relations in heat transport near equilibrium

Antonio Ivan Rivera Islas, Ruth Estephania Gonzalez-Narvaez, Federico Vázquez, and Mariano López de Haro

Phys. Rev. E 113 024140 (2026)

Building causation links in stochastic nonlinear systems from data

Sergio Chibbaro, Cyril Furtlehner, Théo Marchetta, Andrei-Tiberiu Pantea, and Davide Rossetti

Phys. Rev. E 113 044114 (2026)

Revealing the configuration of triplewise couplings of time series extracted from physiological rhythms

O. E. Dick and A. L. Glazov

Nonlinear Dyn 114 590 (2026)

Deep Multiple Instance Learning for Pulmonary Embolism Diagnosis in SPECT Images

Yuchen Liu, Maojia He, Miao He, Zhongtian Guan, Yubo Liu, Jiashuai Su, Yongpeng An, Ying Liang, Jing Wei, Xinling Geng, Liwei Sun, Xia Li, Xu Zhang, and Chunlin Li

J. Phys.: Conf. Ser. 3291 012009 (2026)

Decomposed Transfer Entropy for EEG Brain Networks: Parkinson’s Disease and Dopaminergic Modulation

Shumei Zhu, Wanyi Yi, Yukun Feng, Han Xu, Dengxuan Bai, Weiguo Liu, and Jun Wang

IEEE Trans. Neural Syst. Rehabil. Eng. 34 1857 (2026)

Quantifying coupling and causality in dynamic bivariate systems: a unified framework for time-domain, spectral, and information-theoretic analysis

Laura Sparacino, Helder Pinto, Chiara Barà, Yuri Antonacci, Riccardo Pernice, Ana Paula Rocha, and Luca Faes

Front. Netw. Physiol. 5 1687132 (2026)

Assessment of sex-related differences in cardiovascular control using high-order feature importance

Marlis Ontivero-Ortega, Marta Iovino, Riccardo Pernice, Chiara Barà, Michal Javorka, Luca Faes, and Sebastiano Stramaglia

Eur. Phys. J. Spec. Top. 235 8957 (2026)

Information Flows Among Stocks in Borsa Istanbul: A Transfer Entropy-Based Network Analysis

Serkan Alkan

EPF Journal 11 506 (2026)

Information-theoretic quantification of high-order feature effects in classification problems

Ivan Lazic, Chiara Barà, Marta Iovino, Sebastiano Stramaglia, Karolina Kasas-Lazetic, Nikša Jakovljević, and Luca Faes

Chaos, Solitons & Fractals 204 117724 (2026)

Finding connections between three interacting biological oscillators using phase dynamics modeling

Olga Evgenievna Dick

AND (2026)

No title available

Laura Sparacino

No title available

Laura Sparacino

Non‐invasive assessment of integrated cardiorespiratory network dynamics after physiological stress in humans

Cecilia Morandotti, Louise Rigny, Thomas B. Williams, Juan I. Badariotti, Matt Miller‐Dicks, Amar S. Bhogal, Shachula Han, Jo Corbett, Michael J. Tipton, Joseph T. Costello, and Ali R. Mani

The Journal of Physiology JP288939 (2025)

Takens-Based Kernel Transfer Entropy Connectivity Network for Motor Imagery Classification

Alejandra Gomez-Rivera, Andrés M. Álvarez-Meza, David Cárdenas-Peña, and Alvaro Orozco-Gutierrez

Sensors 25 7067 (2025)

Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy

David P. Shorten, Viola Priesemann, Michael Wibral, Joseph T. Lizier, and Luca Faes

PLoS Comput Biol 21 e1013500 (2025)

Information theory for complex systems scientists: What, why, and how

Thomas F. Varley

Physics Reports 1148 1 (2025)

Novel symbolic detection for flight-to-safety in Bitcoin and investigation of information flow dynamics alongside multiple markets

Yuhan Wang and Di Xiao

Physica A: Statistical Mechanics and its Applications 660 130358 (2025)

Partial Information Rate Decomposition

Luca Faes, Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo, and Sebastiano Stramaglia

Phys. Rev. Lett. 135 187401 (2025)

Partial information decomposition for discrete target and continuous source random variables

Chiara Barà, Yuri Antonacci, Marta Iovino, Ivan Lazic, and Luca Faes

Phys. Rev. E 112 L012301 (2025)

Assessing high-order effects in feature importance via predictability decomposition

Marlis Ontivero-Ortega, Luca Faes, Jesus M. Cortes, Daniele Marinazzo, and Sebastiano Stramaglia

Phys. Rev. E 111 L033301 (2025)

Higher order definition of causality by optimally conditioned transfer entropy

Jakub Kořenek, Pavel Sanda, and Jaroslav Hlinka

Phys. Rev. E 111 L042302 (2025)

Causality structures in nonlinear dynamical systems

Huiyun Wan, Haiying Wang, Changgui Gu, and Huijie Yang

Nonlinear Dyn 113 11455 (2025)

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