ANDRAL Charly

PhD Student

Paris-Dauphine University

andral [at] ceremade.dauphine.fr

Short bio

Diplome d’ingénieur – ENSAE Paris

Master Statistics And Machine Learning, Paris Saclay University

Thesis title

Improvement of MCMC methods and adaptation to the Big Data.

Short abstract

MCMC methods can have some difficulties exploring space, especially in high dimensional settings that can occur in a context of Big Data. The goal of my PhD thesis is to find enhancements to MCMC about this exploring issue.