Davide Faranda

发表

Boosting performance in Machine Learning of Turbulent and Geophysical Flows via scale separation

Mathieu Vrac, Davide Faranda, Pascal Yiou, 2019 .

A Framework for Rare Events in Stochastic Processes and Dynamical Systems

Valerio Lucarini, Jorge Milhazes Freitas, Matthew Nicol, 2016 .

Is Turbulence a State of Maximum Energy Dissipation?

Davide Faranda, Didier Paillard, Martin Mihelich, 2017, Entropy.

Chaotic Dynamics of Flags from Recurring Values of Flapping Moment

Davide Faranda, Emmanuel Virot, Xavier Amandolese, 2017, Int. J. Bifurc. Chaos.

Generalized Extreme Value Distribution parameters as Dynamical indicators of stability

Giorgio Turchetti, Valerio Lucarini, Sandro Vaienti, 2011, Int. J. Bifurc. Chaos.

Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model.

Davide Faranda, Tommaso Alberti, 2020, Chaos.

Boosting performance in machine learning of geophysical flows via scale separation

Mathieu Vrac, Davide Faranda, Pascal Yiou, 2020 .

A recurrence‐based technique for detecting genuine extremes in instrumental temperature records

Sandro Vaienti, Davide Faranda, D. Faranda, 2013, 1308.5622.

Bistable systems with stochastic noise: virtues and limits of effective one-dimensional Langevin equations

Valerio Lucarini, Davide Faranda, Matteo Willeit, 2012 .

A Statistical Mechanical Point of View

Jorge Milhazes Freitas, Matthew Nicol, Mike Todd, 2016 .

Appendix A: Codes

Jorge Milhazes Freitas, Matthew Nicol, Mike Todd, 2016 .

Permutations uniquely identify states and unknown external forces in non-autonomous dynamical systems.

Yoshito Hirata, Davide Faranda, Yuzuru Sato, 2020, Chaos.

Atmospheric Dynamics Leading to West European Summer Hot Temperatures Since 1851

Davide Faranda, Pascal Yiou, Carmen Alvarez-Castro, 2018, Complex..

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

Davide Faranda, Sandro Vaienti, Bérengère Dubrulle, 2015, Commun. Nonlinear Sci. Numer. Simul..

Analysis of Round Off Errors with Reversibility Test as a Dynamical indicator

Giorgio Turchetti, Davide Faranda, Martín Federico Mestre, 2012, Int. J. Bifurc. Chaos.

On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy

Davide Faranda, Tommaso Alberti, D. Faranda, 2020, Communications in Nonlinear Science and Numerical Simulation.

Technical note: Characterising and comparing different palaeoclimates with dynamical systems theory

Davide Faranda, Gabriele Messori, 2021 .

Quantification of the relation between dynamical properties of meteorological variables and their predictability

Davide Faranda, Pascal Yiou, Soulivanh Thao, 2021 .

Modelling the second wave of COVID-19 infections in France and Italy via a Stochastic SEIR model

Davide Faranda, Tommaso Alberti, 2021 .

Learning a Weather Dictionary of Atmospheric Patterns Using Latent Dirichlet Allocation

Davide Faranda, Lucas Fery, Berengere Dubrulle, 2021, Geophysical Research Letters.

A new recurrences based technique for detecting robust extrema in long temperature records

Sandro Vaienti, Davide Faranda, D. Faranda, 2013 .

Dynamical proxies of North Atlantic predictability and extremes

Davide Faranda, Pascal Yiou, Gabriele Messori, 2017, Scientific Reports.

Correlation dimension and phase space contraction via extreme value theory.

Sandro Vaienti, Davide Faranda, D. Faranda, 2017, Chaos.

Extreme value statistics for dynamical systems with noise

Giorgio Turchetti, Valerio Lucarini, Jorge Milhazes Freitas, 2012, 1208.5582.

Extreme value laws for dynamical systems under observational noise

Sandro Vaienti, Davide Faranda, D. Faranda, 2013, 1308.5624.

On using extreme values to detect global stability thresholds in multi-stable systems: The case of transitional plane Couette flow

Valerio Lucarini, Paul Manneville, Davide Faranda, 2012, 1211.0510.

Extremes and Recurrence in Dynamical Systems

Valerio Lucarini, Ana Cristina Moreira Freitas, Jorge Milhazes Freitas, 2016, 1605.07006.

Numerical Convergence of the Block-Maxima Approach to the Generalized Extreme Value Distribution

Giorgio Turchetti, Valerio Lucarini, Sandro Vaienti, 2011, 1103.0889.

Probing turbulence intermittency via autoregressive moving-average models.

Davide Faranda, Bérengère Dubrulle, Flavio Maria Emanuele Pons, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Stochastic Chaos in a Turbulent Swirling Flow.

Davide Faranda, Yuzuru Sato, Bérengère Dubrulle, 2016, Physical review letters.

Extreme value theory for singular measures.

Giorgio Turchetti, Valerio Lucarini, Sandro Vaienti, 2012, Chaos.

Towards a General Theory of Extremes for Observables of Chaotic Dynamical Systems

Valerio Lucarini, Davide Faranda, Tobias Kuna, 2013, Journal of statistical physics.

Statistical early-warning indicators based on autoregressive moving-average models

Davide Faranda, Flavio Maria Emanuele Pons, D. Faranda, 2014 .

Extreme Value distribution for singular measures

Giorgio Turchetti, Valerio Lucarini, Sandro Vaienti, 2011, 1106.2299.

Universal Behaviour of Extreme Value Statistics for Selected Observables of Dynamical Systems

Valerio Lucarini, Davide Faranda, D. Faranda, 2011, 1110.0176.

Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes

Davide Faranda, Flavio Maria Emanuele Pons, D. Faranda, 2014, 1404.0547.