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Physical Review Letters|June 13, 2002
Multifractal properties of return time statisticsNicolai Hadyn, José Luevano, Giorgio Mantica, et al.
Chaos (Woodbury, N.Y.)|March 3, 2019
An overview of the extremal indexNicholas R Moloney, Davide Faranda, Yuzuru Sato
Journal of Statistical Physics|February 18, 2014
Towards a General Theory of Extremes for Observables of Chaotic Dynamical SystemsValerio Lucarini, Davide Faranda, Jeroen Wouters, et al.
Chaos (Woodbury, N.Y.)|December 1, 2022
Guidelines for data-driven approaches to study transitions in multiscale systems: The case of Lyapunov vectorsAkim Viennet, Nikki Vercauteren, Maximilian Engel, et al.
Chaos (Woodbury, N.Y.)|October 31, 2021
Delayed epidemic peak caused by infection and recovery rate fluctuationsMaxence Arutkin, Davide Faranda, Tommaso Alberti, et al.
Chaos (Woodbury, N.Y.)|July 8, 2026
Hitting times, recurrence, and local dimension under nonstationary forcing with applications to climate dataGisela D Charó, Stefano Galatolo, Greta Cazzaniga, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 21, 2023
Atmospheric circulation compounds anthropogenic warming and impacts of climate extremes in EuropeDavide Faranda, Gabriele Messori, Aglae Jezequel, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 24, 2015
Probing turbulence intermittency via autoregressive moving-average modelsDavide Faranda, Bérengère Dubrulle, François Daviaud, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 16, 2025
Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systemsChenyu Dong, Davide Faranda, Adriano Gualandi, et al.
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