Christophe Ley
Christophe Ley
Professor of Applied Statistics at University of Luxembourg
Verified email at - Homepage
Cited by
Cited by
Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median
C Leys, C Ley, O Klein, P Bernard, L Licata
Journal of experimental social psychology 49 (4), 764-766, 2013
Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance
C Leys, O Klein, Y Dominicy, C Ley
Journal of experimental social psychology 74, 150-156, 2018
How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration
C Leys, M Delacre, YL Mora, D Lakens, C Ley
International Review of Social Psychology 32 (1), 2019
Modern directional statistics
C Ley, T Verdebout
Chapman and Hall/CRC, 2017
Stein’s method for comparison of univariate distributions
C Ley, G Reinert, Y Swan
Machine learning methods in sport injury prediction and prevention: a systematic review
H Van Eetvelde, LD Mendonša, C Ley, R Seil, T Tischer
Journal of experimental orthopaedics 8, 1-15, 2021
On families of distributions with shape parameters
MC Jones
International Statistical Review 83 (2), 175-192, 2015
Machine learning and conventional statistics: making sense of the differences
C Ley, RK Martin, A Pareek, A Groll, R Seil, T Tischer
Knee Surgery, Sports Traumatology, Arthroscopy 30 (3), 753-757, 2022
Stein’s density approach and information inequalities
C Ley, Y Swan
Electron. Comm. Probab 18 (7), 1-14, 2013
A hybrid random forest to predict soccer matches in international tournaments
A Groll, C Ley, G Schauberger, H Van Eetvelde
Journal of quantitative analysis in sports 15 (4), 271-287, 2019
Ranking soccer teams on the basis of their current strength: A comparison of maximum likelihood approaches
C Ley, TV Wiele, HV Eetvelde
Statistical Modelling 19 (1), 55-73, 2019
Skew-symmetric distributions and Fisher information–a tale of two densities
M Hallin, C Ley
Applied directional statistics: Modern methods and case studies
C Ley, T Verdebout
CRC Press, 2018
A tractable, parsimonious and flexible model for cylindrical data, with applications
T Abe, C Ley
Econometrics and Statistics 4, 91-104, 2017
Stein’s method meets computational statistics: A review of some recent developments
A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ...
Statistical Science 38 (1), 120-139, 2023
New methods to assess wind resources in terms of wind speed, load, power and direction
GK Gugliani, A Sarkar, C Ley, S Mandal
Renewable Energy 129, 168-182, 2018
Characterizations of GIG laws: A survey
AE Koudou, C Ley
On the singularity of multivariate skew-symmetric models
C Ley, D Paindaveine
Journal of Multivariate Analysis 101 (6), 1434-1444, 2010
What makes data science different? A discussion involving statistics2. 0 and computational sciences
C Ley, SPA Bordas
International Journal of Data Science and Analytics 6 (3), 167-175, 2018
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
RK Martin, C Ley, A Pareek, A Groll, T Tischer, R Seil
Knee surgery, sports traumatology, arthroscopy 30 (2), 361-364, 2022
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