Conference - Stochastic Geometry

Wednesday, April 6, 2016 - 14:00 to 14:40
Bertrand Michel
Université Pierre et Marie Curie
Statistical approach to topological data analysis
Abstract: 

With the emergence of distance-based approaches and persistent topology, geometric inference and computational topology have recently undergone significant developments. New mathematically well-founded theories have given birth to the field of topological data analysis, whose aim is to infer relevant, qualitative and quantitative topological structures directly from the data. This talk is an introduction to topological data analysis methods. In particular I will explain how statistical methods can be proposed for topological data analysis.

slides

Partners

Irmar LMJL ENS Rennes LMBA LAREMA

Affiliation

ANR CNRS Rennes 1 Rennes 2 Nantes INSA Rennes INRIA ENSRennes UBO UBS Angers UBL