Department of Mathematics and Statistics

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve, “Inference for extremal regression with dependent heavy-tailed data”, Annals of Statistics, December 2023, forthcoming.

Thibault Laurent, Paula Margaretic, and Christine Thomas-Agnan, “Generalizing Impact Computations for the Autoregressive Spatial Interaction Model”, Geographical Analysis, vol. 55, n. 4, October 2023, pp. 728–758.

Sébastien Gadat, and Stéphane Villeneuve, “Parsimonious Wasserstein Text-mining”, TSE Working Paper, n. 23-1471, September 2023.

Abdelaati Daouia, and Yasser Abbas, “Understanding World Economy Dynamics Based on Indicators and Events”, TSE Working Paper, n. 23-1461, August 2023.

Lukas Dargel, and Christine Thomas-Agnan, “Share-ratio interpretations of compositional regression models”, TSE Working Paper, n. 23-1456, July 2023, revised September 20, 2023.

Lukas Dargel, and Christine Thomas-Agnan, “The link between multiplicative competitive interaction models and compositional data regression with a total”, TSE Working Paper, n. 23-1455, July 2023.

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve, “An expectile computation cookbook”, TSE Working Paper, n. 23-1458, July 2023.

Thibault Laurent, Christine Thomas-Agnan, and Anne Ruiz-Gazen, “Covariates impacts in spatial autoregressive models for compositional data”, Journal of Spatial Econometrics, vol. 4, n. 5, July 2023.

Jérôme Bolte, Laurent Miclo, and Stéphane Villeneuve, “Swarm gradient dynamics for global optimization: the mean-field limit case”, Mathematical Programming, June 2023.

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve, “Bias-reduced and variance-corrected asymptotic Gaussian inference about extreme expectiles”, TSE Working Paper, n. 23-1444, June 2023, revised November 2023.