Toulouse School of Economics - Research (TSE-Recherche)

Domaines scientifiques déclarés au RNSR

Panels ERC déclarés au RNSR

Mots-clés des publications HAL repérées

Projets ANR

• Organisation des marchés de producteurs et de distributeurs · 2023
• Approche EcoHealth pour l'évaluation de l'usage des fongicides SDHI: exposome et dangers pour la biodiversité et la santé humaine · 2020

Publications HAL récentes repérées

• The Christoffel function: Applications, connections and extensions · 2026

  Résumé de la publication : We provide an introduction to the Christoffel function (CF), a well-known (and old) tool from the theory of approximation and orthogonal polynomials. We then describe how it provides a simple and easy-to-use tool to address some problems in data analysis and mining,…

• ICS for complex data with application to outlier detection for density data · 2026

  Résumé de la publication : Invariant coordinate selection (ICS) is a dimension reduction method, used as a preliminary step for clustering and outlier detection. It has been primarily applied to multivariate data. This work introduces a coordinate-free definition of ICS in an abstract Euclidean space and extends…

• Tying with Network Effects · 2026

  Résumé de la publication : We develop a leverage theory of tying in markets with network effects. When a monopolist in one market cannot perfectly extract surplus from consumers, tying can be a mechanism through which unexploited consumer surplus is used as a demand-side leverage to create…

• Why do firms issue green bonds? · 2026

  Résumé de la publication : Corporate green bond announcements generate positive abnormal stock returns. We suggest this might be because managers use green bonds to signal the profitability of the climate-friendly projects they finance. First, we build a signaling model of green bond issuance. It predicts that…

• Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two group · 2026

  Résumé de la publication : Invariant Coordinate Selection (ICS) is a multivariate technique that relies on the simultaneous diagonalization of two scatter matrices. It serves various purposes, including its use as a dimension reduction tool prior to clustering or outlier detection. ICS’s theoretical foundation establishes why and…