Brigitte Le Roux Français

Geometric Data Analysis · Research

Brigitte Le Roux

Brigitte Le Roux

Mathematician. Geometric Data Analysis — MAP5, Université Paris Cité,
and CEVIPOF / CNRS.

Brigitte Le Roux’s work focuses on Geometric Data Analysis (GDA) and its applications, an approach at the crossroads of multivariate statistics, quantitative sociology and political science.

Member of MAP5 at Université Paris Cité (45 rue des Saints-Pères, office 731-E) and associate researcher at CEVIPOF / CNRS, she develops and applies GDA methods to objects in the social sciences.

The methods studied include Multiple Correspondence Analysis (MCA), Principal Component Analysis (PCA), Structured Data Analysis and Combinatorial Inference — developed with Henry Rouanet and set out in the book Combinatorial Inference in Geometric Data Analysis.

Affiliations

MAP5 — Université Paris Cité
CEVIPOF / CNRS

45 rue des Saints-Pères · 75270 Paris · Office 731-E

Methods

  • Multiple Correspondence AnalysisMCA
  • Principal Component AnalysisPCA
  • Structured Data Analysis
  • Combinatorial Inference

New

Combinatorial Inference in Geometric Data Analysis

B. Le Roux & H. Rouanet — Chapman & Hall / CRC, 2019.