Christophe Ley
Christophe Ley
Professor of Mathematical Statistics at Ghent University
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
Modern directional statistics
C Ley, T Verdebout
CRC Press, 2017
Stein’s method for comparison of univariate distributions
C Ley, G Reinert, Y Swan
Probability Surveys 14, 1-52, 2017
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
On families of distributions with shape parameters
MC Jones
International Statistical Review 83 (2), 175-192, 2015
Stein’s density approach and information inequalities
C Ley, Y Swan
Electron. Comm. Probab 18 (7), 1-14, 2013
Skew-symmetric distributions and Fisher information–a tale of two densities
M Hallin, C Ley
Bernoulli 18 (3), 747-763, 2012
On the singularity of multivariate skew-symmetric models
C Ley, D Paindaveine
Journal of Multivariate Analysis 101 (6), 1434-1444, 2010
A tractable, parsimonious and flexible model for cylindrical data, with applications
T Abe, C Ley
Econometrics and Statistics 4, 91-104, 2017
Local Pinsker inequalities via Stein's discrete density approach
C Ley, Y Swan
IEEE Transactions on Information Theory 59 (9), 5584-5591, 2013
Characterizations of GIG laws: A survey
AE Koudou, C Ley
Probability surveys 11, 161-176, 2014
Distances between nested densities and a measure of the impact of the prior in Bayesian statistics
C Ley, G Reinert, Y Swan
The Annals of Applied Probability 27 (1), 216-241, 2017
Skew-symmetric distributions and Fisher information: the double sin of the skew-normal
M Hallin, C Ley
Bernoulli 20 (3), 1432-1453, 2014
Optimal R-estimation of a spherical location
C Ley, Y Swan, B Thiam, T Verdebout
Statistica Sinica, 305-332, 2013
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
Applied directional statistics: Modern methods and case studies
C Ley, T Verdebout
CRC Press, 2018
Depth-based runs tests for bivariate central symmetry
R Dyckerhoff, C Ley, D Paindaveine
Annals of the Institute of Statistical Mathematics 67 (5), 917-941, 2015
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
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