On the singularity of multivariate skew-symmetric models. - Christophe Ley; Davy Paindaveine (J. Multivar. Anal., 2010)

A new perspective on Stein's density approach with applications to information inequalities - Christophe Ley; Yvik Swan (CoRR, 2012)

Stein's density approach for discrete distributions and information inequalities - Christophe Ley; Yvik Swan (CoRR, 2012)

Local Pinsker Inequalities via Stein's Discrete Density Approach. - Christophe Ley; Yvik Swan (IEEE Trans. Inf. Theory, 2013)

High-dimensional tests for spherical location and spiked covariance. - Christophe Ley; Davy Paindaveine; Thomas Verdebout (J. Multivar. Anal., 2015)

Skew-rotationally-symmetric distributions and related efficient inferential procedures. - Christophe Ley; Thomas Verdebout (J. Multivar. Anal., 2017)

What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences. - Christophe Ley; Stéphane P. A. Bordas (Int. J. Data Sci. Anal., 2018)

Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. - Andreas Groll; Christophe Ley; Gunther Schauberger; Hans Van Eetvelde; Achim Zeileis (CoRR, 2019)

Comparison and Classification of Flexible Distributions for Multivariate Skew and Heavy-Tailed Data. - Sladana Babic; Christophe Ley; David Veredas (Symmetry, 2019)

Bayesian Inference for Skew-Symmetric Distributions. - Fatemeh Ghaderinezhad; Christophe Ley; Nicola Loperfido (Symmetry, 2020)

Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language. - Ola Rønning; Christophe Ley; Kanti V. Mardia; Thomas Hamelryck (MFI, 2021)

Hybrid Machine Learning Forecasts for the UEFA EURO 2020. - Andreas Groll; Lars Magnus Hvattum; Christophe Ley; Franziska Popp; Gunther Schauberger; Hans Van Eetvelde; Achim Zeileis (CoRR, 2021)

Coming Together of Bayesian Inference and Skew Spherical Data. - Najmeh Nakhaei Rad; Andriëtte Bekker; Mohammad Arashi; Christophe Ley (Frontiers Big Data, 2021)

Elliptical Symmetry Tests in R. - Sladana Babic; Christophe Ley; Marko Palangetic (R J., 2021)

The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics. - Fatemeh Ghaderinezhad; Christophe Ley; Ben Serrien (Comput. Stat. Data Anal., 2022)

Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths. - Florian Felice; Christophe Ley (CoRR, 2023)

Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches. - Andreas Groll; Lars Magnus Hvattum; Christophe Ley; Jonas Sternemann; Gunther Schauberger; Achim Zeileis (CoRR, 2024)

ELBOing Stein: Variational Bayes with Stein Mixture Inference. - Ola Rønning; Eric T. Nalisnick; Christophe Ley; Padhraic Smyth; Thomas Hamelryck (ICLR, 2025)