Ouvrages publiés en collaboration (1)
1.
Dehon, C., Hallin, M., Paindaveine, D., Thomas-Agnan, C., & Vermandele, C. (2020). Probabilités et inférence statistique. Bruxelles: Éditions de l’Université de Bruxelles et éditions Ellipses.
Parties d'ouvrages collectifs (10)
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Paindaveine, D., & Virta, J. (2021). On the behavior of extreme d-dimensional spatial quantiles under minimal assumptions. In A. Ruiz-Gazen & A. Daouia (Eds.), On the behavior of extreme d-dimensional spatial quantiles under minimal assumptions, Advances in Contemporary Statistics and Econometrics. Cham.: Springer.
2.
Cutting, C., Paindaveine, D., & Verdebout, T. (2017). Tests of concentration for low-dimensional and high-dimensional directional data. In S. E. Ahmed (Ed.), Big and Complex Data Analysis: Methodology and Applications (pp. 209-227). Springer.
3.
Cassart, D., Hallin, M., & Paindaveine, D. (2015). Optimal rank tests for symmetry against Edgeworth-type alternatives. In K. Nordhausen & S. Taskinen (Eds.), Modern Nonparametric, Robust and Multivariate Methods, Festschrift in Honor of Hannu Oja (pp. 109-132). Springer. doi:10.1007/978-3-319-22404-6_7
4.
Paindaveine, D., & Verdebout, T. (2015). Optimal rank-based tests for the location parameter of a rotationally symmetric distribution on the hypersphere. In M. Hallin, D. D. Mason, D. Pfeifer, & J. Steinebach (Eds.), Mathematical Statistics and Limit Theorems: Festschrift in Honor of Paul Deheuvels (pp. 249-270). Birkhäuser, Basel: Springer.
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Paindaveine, D. (2012). Elliptical symmetry. In El-Shaarawi & Piegorsch (Eds.), Encyclopedia of Environmetrics (2 ed., pp. 802-807). Chichester, UK: John Wiley & Sons Ltd.
6.
Ley, C., & Paindaveine, D. (2012). Runs tests. In El-Shaarawi & Piegorsch (Eds.), Encyclopedia of Environmetrics (2 ed., pp. 2474-2481). Chichester, UK: John Wiley & Sons Ltd.
7.
Cassart, D., Hallin, M., & Paindaveine, D. (2010). On the estimation of cross-information quantities in rank-based inference. In Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in honor of Professor Jana Jureckova, Vol. 7. Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in Honor of Professor Jana Jureckova (pp. 35-45). Beachwood, Ohio, USA: J. Antoch, M. Huskova and P.K. Sen.(I.M.S. Lecture Notes-Monograph Series).
8.
Hallin, M., & Paindaveine, D. (2008). Chernoff-Savage and Hodges-Lehmann results for Wilks' test of multivariate independence. In M. J. Silvapulle (Ed.), Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen (pp. 184-196).(I.M.S. Lecture Notes-Monograph Series).
9.
Hallin, M., & Paindaveine, D. (2003). Affine-invariant linear hypotheses for the multivariate general linear model with ARMA error terms. In S. Froda, C. Léger, & M. Moore (Eds.), Mathematical statistics and applications: Festschrift for Constance van Eeden (pp. 417-434).(I.M.S. Lecture Notes-Monograph Series).
10.
Hallin, M., & Paindaveine, D. (2002). Multivariate signed ranks: Randles' interdirections or Tyler's angles? In Y. Dodge (Ed.), Statistical data analysis based on the L1 norm and related procedures (pp. 271-282). Birkhäuser.
Articles dans des revues avec comité de lecture (75)
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Paindaveine, D., Rasoafaraniaina, R. J., & Verdebout, T. (2021). Preliminary multiple-test estimation, with applications to k-sample covariance estimation. Journal of the American Statistical Association.