Stochastic algorithms are random dynamical systems designed through heuristical methods in order to solve many challenges in optimisation frameworks like those arising in modern statistical analysis. Data are nowadays more and more often represented through complex high-dimensional spaces.This is a motivation for many theoretical, numerical and applied open questions. These algorithms are then privileged basic components for nonparametric statistical methods in the framework for instance of regression function estimation, survival analysis and deconvolution.

 This meeting aims at fostering discussions between interested researchers, espacially in the context of the Nouvelle Aquitaine French administrative region.

This meeting follows the previous meetings : 2017 in Poitiers, 2018 in Bordeaux.