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authFullName_s : Flavio Maria Emanuele Pons
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Statistical performance of local attractor dimension estimators in non-Axiom A dynamical systems

Flavio Maria Emanuele Pons , Gabriele Messori , Davide Faranda
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, 33 (7), pp.073143. ⟨10.1063/5.0152370⟩
Journal articles hal-04051659v2
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Sampling hyperspheres via extreme value theory: implications for measuring attractor dimensions

Flavio Maria Emanuele Pons , Gabriele Messori , M Carmen Alvarez-Castro , Davide Faranda
Journal of Statistical Physics, 2020, ⟨10.1007/s10955-020-02573-5⟩
Journal articles hal-01650250v3
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Statistical reconstruction of European winter snowfall in reanalysis and climate models based on air temperature and total precipitation

Flavio Maria Emanuele Pons , Davide Faranda
Advances in Statistical Climatology, Meteorology and Oceanography, 2022, 8, pp.155-186. ⟨10.5194/ascmo-8-155-2022⟩
Journal articles hal-02988109v1

Early warnings indicators of financial crises via auto regressive moving average models

Davide Faranda , Flavio Maria Emanuele Pons , Eugenio Giachino , Sandro Vaienti , Bérengère Dubrulle
Communications in Nonlinear Science and Numerical Simulation, 2015, 29 (1-3), pp.233-239. ⟨10.1016/j.cnsns.2015.05.002⟩
Journal articles hal-01258385v1
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Enhancing geophysical flow machine learning performance via scale separation

Davide Faranda , Mathieu Vrac , Pascal Yiou , Flavio Maria Emanuele Pons , Adnane Hamid , et al.
Nonlinear Processes in Geophysics, 2021, 28 (3), pp.423 - 443. ⟨10.5194/npg-28-423-2021⟩
Journal articles hal-03341712v3
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Statistical early-warning indicators based on autoregressive moving-average models

Davide Faranda , Bérengère Dubrulle , Flavio Maria Emanuele Pons
Journal of Physics A: Mathematical and Theoretical, 2014, 47, pp.252001. ⟨10.1088/1751-8113⟩
Journal articles cea-01383485v1
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Big data from dynamic pricing: A smart approach to tourism demand forecasting

Andrea Guizzardi , Flavio Maria Emanuele Pons , Giovanni Angelini , Ercolino Ranieri
International Journal of Forecasting, 2021, 37 (3), pp.1049-1060. ⟨10.1016/j.ijforecast.2020.11.006⟩
Journal articles hal-03259163v1