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 | 4012 | 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 | 486 | 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 | 354 | 2019 |
Modern directional statistics C Ley, T Verdebout Chapman and Hall/CRC, 2017 | 232 | 2017 |
Stein’s method for comparison of univariate distributions C Ley, G Reinert, Y Swan | 166* | 2017 |
Machine learning methods in sport injury prediction and prevention: a systematic review H Van Eetvelde, LD Mendonça, C Ley, R Seil, T Tischer Journal of experimental orthopaedics 8, 1-15, 2021 | 165 | 2021 |
On families of distributions with shape parameters MC Jones International Statistical Review 83 (2), 175-192, 2015 | 113 | 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 | 91 | 2022 |
Stein’s density approach and information inequalities C Ley, Y Swan Electron. Comm. Probab 18 (7), 1-14, 2013 | 86 | 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 | 80* | 2019 |
Skew-symmetric distributions and Fisher information–a tale of two densities M Hallin, C Ley | 67 | 2012 |
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 | 65 | 2023 |
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 | 65 | 2019 |
Applied directional statistics: modern methods and case studies C Ley, T Verdebout CRC Press, 2018 | 64 | 2018 |
A tractable, parsimonious and flexible model for cylindrical data, with applications T Abe, C Ley Econometrics and Statistics 4, 91-104, 2017 | 61 | 2017 |
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 | 54 | 2018 |
On the singularity of multivariate skew-symmetric models C Ley, D Paindaveine Journal of Multivariate Analysis 101 (6), 1434-1444, 2010 | 52 | 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 | 48 | 2018 |
Characterizations of GIG laws: A survey AE Koudou, C Ley | 48 | 2014 |
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 | 44 | 2022 |