Christophe Ley

20 papers A* 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recent advances in principal component analysis for directional data.
J. Multivar. Anal.
Anahita Nodehi, Meisam Moghimbeygi, Christophe Ley
2025 A* conf
ELBOing Stein: Variational Bayes with Stein Mixture Inference.
ICLR
Ola Rønning, Eric T. Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck
2024 J jnl
ELBOing Stein: Variational Bayes with Stein Mixture Inference.
CoRR
Ola Rønning, Eric T. Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck
2024 J jnl
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches.
CoRR
Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Jonas Sternemann, Gunther Schauberger, Achim Zeileis
2023 J jnl
Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths.
CoRR
Florian Felice, Christophe Ley
2022 J jnl
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics.
Comput. Stat. Data Anal.
Fatemeh Ghaderinezhad, Christophe Ley, Ben Serrien
2021 J jnl
Coming Together of Bayesian Inference and Skew Spherical Data.
Frontiers Big Data
Najmeh Nakhaei Rad, Andriëtte Bekker, Mohammad Arashi, Christophe Ley
2021 J jnl
Elliptical Symmetry Tests in R.
R J.
Sladana Babic, Christophe Ley, Marko Palangetic
2021 J jnl
Hybrid Machine Learning Forecasts for the UEFA EURO 2020.
CoRR
Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Franziska Popp, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
2021 — conf
Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language.
MFI
Ola Rønning, Christophe Ley, Kanti V. Mardia, Thomas Hamelryck
2020 J jnl
Bayesian Inference for Skew-Symmetric Distributions.
Symmetry
Fatemeh Ghaderinezhad, Christophe Ley, Nicola Loperfido
2019 J jnl
Comparison and Classification of Flexible Distributions for Multivariate Skew and Heavy-Tailed Data.
Symmetry
Sladana Babic, Christophe Ley, David Veredas
2019 J jnl
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019.
CoRR
Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
2018 J jnl
What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences.
Int. J. Data Sci. Anal.
Christophe Ley, Stéphane P. A. Bordas
2017 J jnl
Skew-rotationally-symmetric distributions and related efficient inferential procedures.
J. Multivar. Anal.
Christophe Ley, Thomas Verdebout
2015 J jnl
High-dimensional tests for spherical location and spiked covariance.
J. Multivar. Anal.
Christophe Ley, Davy Paindaveine, Thomas Verdebout
2013 J jnl
Local Pinsker Inequalities via Stein's Discrete Density Approach.
IEEE Trans. Inf. Theory
Christophe Ley, Yvik Swan
2012 J jnl
A new perspective on Stein's density approach with applications to information inequalities
CoRR
Christophe Ley, Yvik Swan
2012 J jnl
Stein's density approach for discrete distributions and information inequalities
CoRR
Christophe Ley, Yvik Swan
2010 J jnl
On the singularity of multivariate skew-symmetric models.
J. Multivar. Anal.
Christophe Ley, Davy Paindaveine