SCAGLIARINI, TOMAS

SCAGLIARINI, TOMAS  

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Titolo Data di pubblicazione Autore(i) File
Gradients of O-information highlight synergy and redundancy in physiological applications 1-gen-2023 Scagliarini, Tomas; Sparacino, Laura; Faes, Luca; Marinazzo, Daniele; Stramaglia, Sebastiano
Gradients of O-information: Low-order descriptors of high-order dependencies 1-gen-2023 Scagliarini, T.; Nuzzi, D.; Antonacci, Y.; Faes, L.; Rosas, F. E.; Marinazzo, D.; Stramaglia, S.
Local Granger causality 1-gen-2021 Stramaglia, S.; Scagliarini, T.; Antonacci, Y.; Faes, L.
Pairwise and high-order dependencies in the cryptocurrency trading network 1-gen-2022 Scagliarini, Tomas; Pappalardo, Giuseppe; Biondo, Alessio Emanuele; Pluchino, Alessandro; Rapisarda, Andrea; Stramaglia, Sebastiano
Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics 1-gen-2021 Stramaglia, Sebastiano; Scagliarini, Tomas; Daniels, Bryan C.; Marinazzo, Daniele
Quantifying high-order interdependencies on individual patterns via the local O-information: Theory and applications to music analysis 1-gen-2022 Scagliarini, Tomas; Marinazzo, Daniele; Guo, Yike; Stramaglia, Sebastiano; Rosas, Fernando E.
Synergistic information transfer in the global system of financial markets 1-gen-2020 Scagliarini, T.; Faes, L.; Marinazzo, D.; Stramaglia, S.; Mantegna, R. N.