MINGO NDIWAGO, D., Nijzink, R., LEY, C., & HALE, J. (2024). Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59491. doi:10.5194/egusphere-2023-2865 |
Kato, S., LEY, C., & LOIZIDOU, S. (2024). The trivariate wrapped Cauchy copula -- a multi-purpose model for angular data. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60076. |
MINGO NDIWAGO, D., LEY, C., & HALE, J. (15 December 2023). Using optimal transport to assess the impact of prior choice on Bayesian parameter inference in dynamical systems [Paper presentation]. 16th International Conference of the ERCIM WG on Computational and Methodological Statistics and 17th International Conference on Computational and Financial Econometrics, Berlin, Germany. |
Palmirotta, G.* , & LEY, C.*. (2023). Space science from a directional statistical point of view. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57144. * These authors have contributed equally to this work. |
Zsidai, B., Hilkert, A.-S., Kaarre, J., Narup, E., Senorski, E. H., Grassi, A., LEY, C., Longo, U. G., Herbst, E., Hirschmann, M. T., Kopf, S., Seil, R., Tischer, T., Samuelsson, K., Feldt, R., & ESSKA Artificial Intelligence Working Group. (16 November 2023). A practical guide to the implementation of AI in orthopaedic research - part 1: opportunities in clinical application and overcoming existing challenges. Journal of Experimental Orthopaedics, 10 (1), 117. doi:10.1186/s40634-023-00683-z Peer Reviewed verified by ORBi |
Calvo, G., Armero, C., Grimm, B., & LEY, C. (2023). Selecting the best compositions of a wheelchair basketball team: a data-driven approach. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57904. |
Zsidai, B., Kaarre, J., Hilkert, A.-S., Narup, E., Senorski, E. H., Grassi, A., Ayeni, O. R., Musahl, V., LEY, C., Herbst, E., Hirschmann, M. T., Kopf, S., Seil, R., Tischer, T., Samuelsson, K., Feldt, R., & ESSKA Artificial Intelligence Working Group. (28 September 2023). Accelerated evidence synthesis in orthopaedics-the roles of natural language processing, expert annotation and large language models. Journal of Experimental Orthopaedics, 10 (1), 99. doi:10.1186/s40634-023-00662-4 Peer Reviewed verified by ORBi |
Felice, F., & LEY, C. (2023). Prediction of Handball Games with Statistically Enhanced Learning via Estimated Team Strengths. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57903. |
Felice, F., LEY, C., Andreas Groll, & BORDAS, S. (2023). Statistically Enhanced Learning: a feature engineering framework to boost (any) learning algorithms. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59205. |
Tondut, J., Dandrieux, P.-E., Navarro, L., LEY, C., & Édouard, P. (June 2023). La prédiction des blessures en sport : fiction ou réalité ? Journal de Traumatologie du Sport, 40 (2), 62 - 68. doi:10.1016/j.jts.2023.03.006 Peer reviewed |
Dandrieux, P.-E., Tondut, J., Nagahara, R., Mendiguchia, J., Morin, J.-B., Lahti, J., LEY, C., Edouard, P., & Navarro, L. (June 2023). Prédiction des blessures des ischiojambiers en football à l'aide d'apprentissage automatique : étude préliminaire sur 284 footballeurs. Journal de Traumatologie du Sport, 40 (2), 69 - 73. doi:10.1016/j.jts.2023.04.003 Peer reviewed |
Dandrieux, P.-E., Navarro, L., Blanco, D., Ruffault, A., LEY, C., Bruneau, A., Chapon, J., Hollander, K., & Edouard, P. (16 May 2023). Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season. BMJ Open, 13 (5), 069423. doi:10.1136/bmjopen-2022-069423 Peer Reviewed verified by ORBi |
Mingo Ndiwago, D., Nijzink, R., Ley, C., Schymanski, S., & Hale, J. (24 April 2023). Thermodynamic integration via Replica Exchange Hamiltonian Monte Carlo for faster sampling and model comparison [Paper presentation]. EGU General Assembly, Vienna, Austria. doi:10.5194/egusphere-egu23-2910 |
Sinner, C., Dominicy, Y., Trufin, J., Waterschoot, W., Weber, P., & LEY, C. (April 2023). From Pareto to Weibull – A Constructive Review of Distributions on ℝ+. International Statistical Review, 91 (1), 35 - 54. doi:10.1111/insr.12508 Peer Reviewed verified by ORBi |
Palmirotta, G., & Ley, C. (29 March 2023). La conquête de l'espace grâce aux statistiques appliquées [Paper presentation]. Sciences, ça tourne, Luembourg, Luxembourg. |
Oronowicz, J., LEY, C., Pachowsky, M., Seil, R., & Tischer, T. (March 2023). Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie. Sport-Orthopädie - Sport-Traumatologie, 39 (1), 4 - 10. doi:10.1016/j.orthtr.2022.12.002 Peer Reviewed verified by ORBi |
Rønning, O., LEY, C., Ahmad Salim Al-Sibahi, & Thomas Hamelryck. (2023). ELBO-ing Stein Mixtures. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57900. |
Mingo Ndiwago, D., Nijzink, R., Ley, C., Schymanski, S., & Hale, J. (25 January 2023). Using replica exchange Hamiltonian Monte Carlo and thermodynamic integration for comparison of dynamic rainfall-runoff models [Paper presentation]. Luxembourg-Waseda Conference on Modelling and Inference for Complex Data, Belval, Luxembourg. |
Palmirotta, G., & LEY, C. (24 January 2023). Breakthrough of directional statistics in space science [Paper presentation]. Luxembourg-Waseda Conference on Modelling and Inference for Complex Data; TMU International Conference on Statistical Modelling and Inference 2023; 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Belval, Luxembourg. |
Dominicy, Y., & LEY, C. (2023). Statistics Meets Sports : What We Can Learn from Sports Data. Cambridge Scholars Publishing. Editorial reviewed |
Gromicho, J., Baller, A., Barros, A., Burger, J., Glorie, K., Jagtenberg, C., Luijben, G., Starmans, R., Stemerdink, G., Torres Van Grinsven, V., Willems, S., Vaste, J., Van Leeuwaarden, J., Poppelaars, G., Sierksma, Tijms, H., Pharos, N., De Geboorte Van Stator, Oud, H., ... LEY, C. (2023). Ontwerp en opmaak. STAtOR. |
Anastasiou, A., Barp, A., Briol, F.-X., Ebner, B., Gaunt, R. E., Ghaderinezhad, F., Gorham, J., Gretton, A., LEY, C., Liu, Q., Mackey, L., Oates, C. J., Reinert, G., & Swan, Y. (2023). Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments. Statistical Science: A Review Journal of the Institute of Mathematical Statistics, 38 (1), 120 - 139. doi:10.1214/22-STS863 Peer reviewed |
Babić, S., LEY, C., Ricci, L., & Veredas, D. (2023). TailCoR: A new and simple metric for tail correlations that disentangles the linear and nonlinear dependencies that cause extreme co-movements. PLoS ONE, 18 (1), 0278599. doi:10.1371/journal.pone.0278599 Peer Reviewed verified by ORBi |
Ley, C., & Ameijeiras-Alonso, J. (02 October 2022). Sine-skewed toroidal distributions and their application in protein bioinformatics. Biostatistics, 23 (3), 685–704. doi:10.1093/biostatistics/kxaa039 Peer Reviewed verified by ORBi |
Ley, C., Ghaderinezhad, F., & Serrien, B. (October 2022). The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics. Computational Statistics and Data Analysis, 174. doi:10.1016/j.csda.2021.107352 Peer reviewed |
Mingo Ndiwago, D., Nijzink, R., Ley, C., Schymanski, S., & Hale, J. (05 June 2022). Using Bayes factors to compare dynamical models of hydrological systems [Paper presentation]. 5th International Conference on Econometrics and Statistics (EcoSta 2022), Kyoto, Japan. |
Ley, C., Nakhaei Rad, N., Bekker, A., & Arashi, M. (2022). Coming Together of Bayesian Inference and Skew Spherical Data. Frontiers in Big Data. doi:10.3389/fdata.2021.769726 Peer Reviewed verified by ORBi |
Ley, C., Mendonça, L. D., Schuermans, J., Wezenbeek, E., IFSPT, & Witvrouw, E. (January 2022). How injury prevention programs are being structured and implemented worldwide: An international survey of sports physical therapists. Physical Therapy in Sport, 53, 143-150. doi:10.1016/j.ptsp.2021.06.002 Peer reviewed |
Ley, C., Mendonça, L. D., Schuermans, J., Wezenbeek, E., IFSPT, & Witvrouw, E. (January 2022). How injury registration and preseason assessment are being delivered : an international survey of sports physical therapists. Physical Therapy in Sport, 53, 151-157. doi:10.1016/j.ptsp.2021.08.014 Peer reviewed |
Martin, R. K., Ley, C., Pareek, A., Groll, A., Tischer, T., & Seil, R. (2022). Artificial intelligence and machine learning: an introduction for orthopaedic surgeons. Knee Surgery, Sports Traumatology, Arthroscopy, 30, 361-364. doi:10.1007/s00167-021-06741-2 Peer Reviewed verified by ORBi |
Ley, C., Martin, L. K., Pareek, A., Groll, A., Seil, R., & Tischer, T. (2022). Machine learning and conventional statistics: making sense of the differences. Knee Surgery, Sports Traumatology, Arthroscopy, 30, 753-757. doi:10.1007/s00167-022-06896-6 Peer Reviewed verified by ORBi |
Bekker, A., Nakhaei Rad, N., Arashi, M., & LEY, C. (2022). Generalized Skew-Symmetric Circular and Toroidal Distributions. In Forum for Interdisciplinary Mathematics. Springer. doi:10.1007/978-981-19-1044-9_9 Peer reviewed |
Babić, S., Gelbgras, L., Hallin, M., & LEY, C. (November 2021). Optimal tests for elliptical symmetry: Specified and unspecified location. Bernoulli, 27 (4), 2189 - 2216. doi:10.3150/20-BEJ1305 Peer reviewed |
Ronning, O., LEY, C., Mardia, K. V., & Hamelryck, T. (2021). Time-efficient Bayesian Inference for a (Skewed) von Mises Distribution on the Torus in a Deep Probabilistic Programming Language. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. doi:10.1109/MFI52462.2021.9591184 Peer reviewed |
Ley, C., Najfeld, M., Kalteis, T., Spiegler, C., & Hube, R. (2021). The Safety of Bilateral Simultaneous Hip and Knee Arthroplasty versus Staged Arthroplasty in a High-Volume Center Comparing Blood Loss, Peri- and Postoperative Complications, and Early Functional Outcome. Journal of Clinical Medicine. doi:10.3390/jcm10194507 Peer Reviewed verified by ORBi |
Ley, C., Babić, S. A., & Palangetić, M. (August 2021). Elliptical Symmetry Tests in R. R Journal, 13:2. doi:10.32614/RJ-2021-078 Peer Reviewed verified by ORBi |
Ameijeiras-Alonso, J., LEY, C., Pewsey, A., & Verdebout, T. (August 2021). On optimal tests for circular reflective symmetry about an unknown central direction. Statistical Papers, 62 (4), 1651 - 1674. doi:10.1007/s00362-019-01150-7 Peer Reviewed verified by ORBi |
Van Nieuwenhuyse, E., Strisciuglio, T., Lorenzo, G., El Haddad, M., Goedgebeur, J., Van Cleemput, N., LEY, C., Panfilov, A. V., de Pooter, J., Vandekerckhove, Y., Tavernier, R., Duytschaever, M., Knecht, S., & Vandersickel, N. (July 2021). Evaluation of Directed Graph-Mapping in Complex Atrial Tachycardias. JACC: Clinical Electrophysiology, 7 (7), 936 - 949. doi:10.1016/j.jacep.2020.12.013 Peer reviewed |
Abe, T., Fujisawa, H., Kawashima, T., & LEY, C. (July 2021). EM algorithm using overparameterization for the multivariate skew-normal distribution. Econometrics and Statistics, 19, 151 - 168. doi:10.1016/j.ecosta.2021.03.003 Peer Reviewed verified by ORBi |
Gugliani, G. K., Sarkar, A., LEY, C., & Matsagar, V. (June 2021). Identification of optimum wind turbine parameters for varying wind climates using a novel month-based turbine performance index. Renewable Energy, 171, 902 - 914. doi:10.1016/j.renene.2021.02.141 Peer Reviewed verified by ORBi |
Delacre, M., Lakens, D., LEY, C., Liu, L., & Leys, C. (2021). Why Hedges’ g*s based on the non-pooled standard deviation should be reported with Welch’s t-test. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57901. doi:10.31234/osf.io/tu6mp |
Van Eetvelde, H., Mendonça, L. D., LEY, C., Seil, R., & Tischer, T. (14 April 2021). Machine learning methods in sport injury prediction and prevention: a systematic review. Journal of Experimental Orthopaedics, 8 (1), 27. doi:10.1186/s40634-021-00346-x Peer Reviewed verified by ORBi |
LEY, C., Babić, S., & Craens, D. (07 March 2021). Flexible models for complex data with applications. Annual Review of Statistics and Its Application, 8 (1), 369 - 391. doi:10.1146/annurev-statistics-040720-025210 Peer Reviewed verified by ORBi |
Willems, T. M., LEY, C., Goetghebeur, E., THEISEN, D., & MALISOUX, L. (March 2021). Motion-Control Shoes Reduce the Risk of Pronation-Related Pathologies in Recreational Runners: A Secondary Analysis of a Randomized Controlled Trial. Journal of Orthopaedic and Sports Physical Therapy, 51 (3), 135 - 143. doi:10.2519/jospt.2021.9710 Peer Reviewed verified by ORBi |
Ley, C., Daly, F., Ghaderinezhad, F., & Swan, Y. (2021). Some simple variance bounds from Stein’s method. ALEA: Latin American Journal of Probability and Mathematical Statistics, 18, 1845-1858. doi:10.30757/ALEA.V18-69 Peer Reviewed verified by ORBi |
Ley, C., Van Eetvelde, H., & Magnus Hvattum, L. (2021). The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons. AStA Advances in Statistical Analysis. doi:10.1007/s10182-021-00416-6 Peer Reviewed verified by ORBi |
Ekstrom, C., Van Eetvelde, H., LEY, C., & Brefeld, U. (2021). Evaluating one-shot tournament predictions. Journal of Sports Analytics, 7 (1), 37-46. doi:10.3233/JSA-200454 Peer reviewed |
Ley, C. (2020). When the score function is the identity function - A tale of characterizations of the normal distribution. Econometrics and Statistics. doi:10.1016/j.ecosta.2020.10.001 Peer reviewed |
Ley, C., & Dominicy, Y. (Eds.). (2020). Science Meets Sports: When Statistics Are More Than Numbers. Cambridge Scholars Publishing. |
Dominicy, Y., & LEY, C. (2020). Science meets Sports : when Statistics are more than Numbers. Cambridge Scholars Publishing. Editorial reviewed |
Ghaderinezhad, F., & LEY, C. (2020). On the Impact of the Choice of the Prior in Bayesian Statistics. In Bayesian Inference on Complicated Data. IntechOpen. doi:10.5772/intechopen.88994 Peer reviewed |
LEY, C., TIBOLT, M., & Fromme, D. (18 June 2020). Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer. Data-Centric Engineering, 1. doi:10.1017/dce.2020.2 Peer Reviewed verified by ORBi |
Ghaderinezhad, F., LEY, C., & Loperfido, N. (April 2020). Bayesian inference for skew-symmetric distributions. Symmetry, 12 (4), 491. doi:10.3390/SYM12040491 Peer Reviewed verified by ORBi |
LEY, C., & Simone, R. (2020). Modelling Earthquakes: Characterizing Magnitudes and Inter-Arrival Times. In Emerging Topics in Statistics and Biostatistics. Springer International Publishing. doi:10.1007/978-3-030-42196-0_2 Peer reviewed |
Aslam, M., LEY, C., Hussain, Z., Shah, S. F., & Asghar, Z. (2020). A new generator for proposing flexible lifetime distributions and its properties. PLoS ONE, 15 (4), 0231908. doi:10.1371/journal.pone.0231908 Peer Reviewed verified by ORBi |
Cremers, J., Pennings, H. J. M., & LEY, C. (2020). Regression Models for Cylindrical Data in Psychology. Multivariate Behavioral Research, 55 (6), 910 - 925. doi:10.1080/00273171.2019.1693332 Peer Reviewed verified by ORBi |
Babić, S., LEY, C., & Veredas, D. (October 2019). Comparison and classification of flexible distributions for multivariate skew and heavy-tailed data. Symmetry, 11 (10), 1216. doi:10.3390/sym11101216 Peer Reviewed verified by ORBi |
Ghaderinezhad, F., & LEY, C. (March 2019). Quantification of the impact of priors in Bayesian statistics via Stein's Method. Statistics and Probability Letters, 146, 206 - 212. doi:10.1016/j.spl.2018.11.012 Peer Reviewed verified by ORBi |
LEY, C., Wiele, T. V. D., & Eetvelde, H. V. (February 2019). Ranking soccer teams on the basis of their current strength: A comparison of maximum likelihood approaches. Statistical Modelling, 19 (1), 55 - 77. doi:10.1177/1471082X18817650 Peer Reviewed verified by ORBi |
Ley, C., & Verdebout, T. (Eds.). (2019). Applied Directional Statistics : Modern Methods and Case Studies. Chapman and Hall/CRC. |
Groll, A., LEY, C., Schauberger, G., & Van Eetvelde, H. (2019). A hybrid random forest to predict soccer matches in international tournaments. Journal of Quantitative Analysis in Sports, 15 (4), 271-287. doi:10.1515/jqas-2018-0060 Peer reviewed |
Leys, C., Delacre, M., Mora, Y. L., Lakens, D., & LEY, C. (2019). How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration. International Review of Social Psychology, 32 (1). doi:10.5334/irsp.289 Peer Reviewed verified by ORBi |
Gugliani, G. K., Sarkar, A., LEY, C., & Mandal, S. (December 2018). New methods to assess wind resources in terms of wind speed, load, power and direction. Renewable Energy, 129, 168 - 182. doi:10.1016/j.renene.2018.05.088 Peer Reviewed verified by ORBi |
LEY, C., Dominicy, Y., & Bruneel, W. (December 2018). Mutual point-winning probabilities (MPW): a new performance measure for table tennis. Journal of Sports Sciences, 36 (23), 2684 - 2690. doi:10.1080/02640414.2017.1400261 Peer Reviewed verified by ORBi |
LEY, C., & Bordas, S. P. A. (November 2018). What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences. International Journal of Data Science and Analytics, 6 (3), 167 - 175. doi:10.1007/s41060-017-0090-x Peer Reviewed verified by ORBi |
Dette, H., LEY, C., & Rubio, F. (June 2018). Natural (Non-)Informative Priors for Skew-symmetric Distributions. Scandinavian Journal of Statistics, 45 (2), 405 - 420. doi:10.1111/sjos.12306 Peer Reviewed verified by ORBi |
Leys, C., KLEIN, O., Dominicy, Y., & LEY, C. (2018). Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance. Journal of Experimental Social Psychology, 74, 150 - 156. doi:10.1016/j.jesp.2017.09.011 Peer Reviewed verified by ORBi |
Domien, C., & LEY, C. (2018). Analysis of biological and biomedical data with circular statistics. Journal of Biometrics and Biostatistics. Peer Reviewed verified by ORBi |
Abe, T., & LEY, C. (October 2017). A tractable, parsimonious and flexible model for cylindrical data, with applications. Econometrics and Statistics, 4, 91 - 104. doi:10.1016/j.ecosta.2016.04.001 Peer Reviewed verified by ORBi |
Alj, A., Azrak, R., LEY, C., & Mélard, G. (September 2017). Asymptotic Properties of QML Estimators for VARMA Models with Time-dependent Coefficients. Scandinavian Journal of Statistics, 44 (3), 617 - 635. doi:10.1111/sjos.12268 Peer Reviewed verified by ORBi |
LEY, C., & Verdebout, T. (July 2017). Skew-rotationally-symmetric distributions and related efficient inferential procedures. Journal of Multivariate Analysis, 159, 67 - 81. doi:10.1016/j.jmva.2017.02.010 Peer Reviewed verified by ORBi |
LEY, C., Swan, Y., & Verdebout, T. (February 2017). Efficient ANOVA for directional data. Annals of the Institute of Statistical Mathematics, 69 (1), 39 - 62. doi:10.1007/s10463-015-0533-x Peer Reviewed verified by ORBi |
LEY, C., Reinert, G., & Swan, Y. (February 2017). Distances between nested densities and a measure of the impact of the prior in Bayesian statistics. Annals of Applied Probability, 27 (1), 216 - 241. doi:10.1214/16-AAP1202 Peer Reviewed verified by ORBi |
Ley, C., & Verdebout, T. (Eds.). (2017). Modern Directional Statistics. Chapman and Hall/CRC. doi:10.1201/9781315119472 |
LEY, C., Reinert, G., & Swan, Y. (2017). Stein's method for comparison of univariate distributions. Probability Surveys, 14 (2017), 1 - 52. doi:10.1214/16-PS278 Peer reviewed |
Anastasiou, A., & LEY, C. (2017). Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method. Alea, 14 (1), 153 - 171. doi:10.30757/ALEA.v14-09 Peer reviewed |
LEY, C., & Swan, Y. (May 2016). Parametric Stein operators and variance bounds. Brazilian Journal of Probability and Statistics, 30 (2), 171 - 195. doi:10.1214/14-BJPS271 Peer reviewed |
LEY, C., & Swan, Y. (April 2016). A general parametric Stein characterization. Statistics and Probability Letters, 111, 67 - 71. doi:10.1016/j.spl.2016.01.008 Peer Reviewed verified by ORBi |
Dyckerhoff, R., LEY, C., & Paindaveine, D. (26 October 2015). Depth-based runs tests for bivariate central symmetry. Annals of the Institute of Statistical Mathematics, 67 (5), 917 - 941. doi:10.1007/s10463-014-0480-y Peer Reviewed verified by ORBi |
LEY, C., Paindaveine, D., & Verdebout, T. (July 2015). High-dimensional tests for spherical location and spiked covariance. Journal of Multivariate Analysis, 139, 79 - 91. doi:10.1016/j.jmva.2015.02.019 Peer Reviewed verified by ORBi |
LEY, C. (2015). Flexible modelling in statistics: past, present and future. Journal de la Société Française de Statistique, 1 (156), 76-96. Peer reviewed |
Koudou, A. E., & LEY, C. (December 2014). Efficiency combined with simplicity: new testing procedures for Generalized Inverse Gaussian models. TEST, 23 (4), 708 - 724. doi:10.1007/s11749-014-0378-2 Peer reviewed |
LEY, C., & Verdebout, T. (December 2014). Local powers of optimal one-sample and multi-sample tests for the concentration of fisher-von mises-langevin distributions. International Statistical Review, 82 (3), 440 - 456. doi:10.1111/insr.12047 Peer Reviewed verified by ORBi |
LEY, C., & Verdebout, T. (July 2014). Simple optimal tests for circular reflective symmetry about a specified median direction. Statistica Sinica, 24 (3), 1319 - 1339. doi:10.5705/ss.2013.083 Peer reviewed |
LEY, C., Sabbah, C., & Verdebout, T. (2014). A new concept of quantiles for directional data and the angular Mahalanobis depth. Electronic Journal of Statistics, 8 (1), 795 - 816. doi:10.1214/14-EJS904 Peer Reviewed verified by ORBi |
Hallin, M., & LEY, C. (2014). Skew-Symmetric distributions and fisher information: The double sin of the skew-Normal. Bernoulli, 20 (3), 1432 - 1453. doi:10.3150/13-BEJ528 Peer reviewed |
Koudou, A. E., & LEY, C. (2014). Characterizations of GIG laws: A survey. Probability Surveys, 11 (2014), 161 - 176. doi:10.1214/13-PS227 Peer reviewed |
Leys, C., LEY, C., KLEIN, O., Bernard, P., & Licata, L. (July 2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49 (4), 764 - 766. doi:10.1016/j.jesp.2013.03.013 Peer Reviewed verified by ORBi |
Duerinckx, M., & LEY, C. (August 2012). Maximum likelihood characterization of rotationally symmetric distributions on the sphere. Sankhya A, 74 (2), 249 - 262. doi:10.1007/s13171-012-0004-x Peer reviewed |
Hallin, M., & LEY, C. (August 2012). Skew-symmetric distributions and Fisher information - A tale of two densities. Bernoulli, 18 (3), 747 - 763. doi:10.3150/12-BEJ346 Peer reviewed |
LEY, C., & Paindaveine, D. (December 2010). Multivariate skewing mechanisms: A unified perspective based on the transformation approach. Statistics and Probability Letters, 80 (23-24), 1685 - 1694. doi:10.1016/j.spl.2010.07.004 Peer Reviewed verified by ORBi |
LEY, C., & Paindaveine, D. (July 2010). On the singularity of multivariate skew-symmetric models. Journal of Multivariate Analysis, 101 (6), 1434 - 1444. doi:10.1016/j.jmva.2009.10.008 Peer Reviewed verified by ORBi |
LEY, C., & Paindaveine, D. (2010). On Fisher information matrices and profile log-likelihood functions in generalized skew-elliptical models. Metron, 68 (3), 235 - 250. doi:10.1007/BF03263537 Peer reviewed |
LEY, C., & Paindaveine, D. (November 2009). Le Cam optimal tests for symmetry against Ferreira and Steel's general skewed distributions. Journal of Nonparametric Statistics, 21 (8), 943 - 967. doi:10.1080/10485250902971765 Peer Reviewed verified by ORBi |