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Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One?, , , , и . IEEE Trans. Biomed. Eng., 64 (6): 1287-1296 (2017)Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition., , , , , и . EMBC, стр. 1-4. IEEE, (2023)Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability., , , и . CinC, стр. 113-116. www.cinc.org, (2013)Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data., , и . Comput. Math. Methods Medicine, (2020)Towards understanding the complexity of cardiovascular oscillations: Insights from information theory., , , , , , и . Comput. Biol. Medicine, (2018)Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics., , , , и . Entropy, 23 (6): 698 (2021)Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept., , , , , , и . EMBC, стр. 4934-4937. IEEE, (2019)Multiscale analysis of information dynamics for linear multivariate processes., , , , и . EMBC, стр. 5489-5492. IEEE, (2016)Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*., , и . EMBC, стр. 26-29. IEEE, (2020)Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability., , и . EMBC, стр. 1789-1792. IEEE, (2015)