– F. Angeletti (ENS Lyon) : Critical order for moment estimation : insights from statistical physics. Carte non disponible Date/heure Date(s) - 27 juin 2013 Catégories Pas de Catégories Critical order for moment estimation : insights from statistical physics. By Florian Angeletti ENS Lyon Abstract: Moment estimation is one of the most basic question in statistical signal processing. For i.i.d. random variables and a infinite number of observations, the law of large numbers implies that the classical moment estimator converges towards the theoretical moment. However, these hypothesis are not really satisfied in practical settings where only a finite number of observations is available and most data are correlated. It is therefore quite natural to ask ourselves: up to which order can moments be reliably estimated from a given number of observation? In this presentation, I will show how the notion of glassy phase transition developed for studying disordered systems in statistical physics can help to answer such a question.