S
Sandro Vaienti
Researcher at Aix-Marseille University
Publications - 173
Citations - 4101
Sandro Vaienti is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Dynamical systems theory & Extreme value theory. The author has an hindex of 33, co-authored 169 publications receiving 3755 citations. Previous affiliations of Sandro Vaienti include University of the South, Toulon-Var & University of Bologna.
Papers
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Journal ArticleDOI
A probabilistic approach to intermittency
TL;DR: This method essentially gives the optimal polynomial bound for the decay of correlations, the degree depending on the order of the tangency at the neutral fixed point.
Journal ArticleDOI
Statistics of Return Times:¶A General Framework and New Applications
TL;DR: In this article, the authors provided general estimates for the errors between the distribution of the first, and more generally, the K − th return time (suitably rescaled) and the Poisson law for measurable dynamical systems.
Book
Extremes and Recurrence in Dynamical Systems
Valerio Lucarini,Davide Faranda,Ana C. Freitas,Jorge Milhazes Freitas,Mark Holland,Tobias Kuna,Matthew Nicol,Mike Todd,Sandro Vaienti +8 more
TL;DR: In this article, the authors provide a broad overview of the interdisciplinary research area of extreme events, underlining its relevance for mathematics, natural sciences, engineering, and social sciences, and discuss how extreme events can be used as probes for inferring fundamental dynamical and geometrical properties of a dynamical system.
BookDOI
Extremes and Recurrence in Dynamical Systems: Lucarini/Extremes and Recurrence in Dynamical Systems
Valerio Lucarini,Davide Faranda,Ana Cristina Gomes Monteiro Moreira Freitas,Jorge Milhazes Freitas,Mark Holland,Tobias Kuna,Matthew Nicol,Mike Todd,Sandro Vaienti +8 more
Journal ArticleDOI
Hitting and return times in ergodic dynamical systems
TL;DR: In this article, it was shown that the distribution function of the normalized hitting times to Un converges weakly to some subprobability distribution F if and only if the normalized return time converges to some distribution function F, and that in the converging case, the asymptotics for return times is exponential if the one for hitting times is also.