Ouvrages publiés en collaboration (1)
  1. 1. Ley, C., & Verdebout, T. (2017). Modern Directional Statistics.
    2.   Ouvrages édités à titre de seul éditeur ou en collaboration (1)
  2. 1. Ley, C., & Verdebout, T. (2019). Applied Directional Statistics: Modern Methods and Case Studies.
    3.   Parties d'ouvrages collectifs (7)
  3. 1. Verdebout, T. (2022). On weighted sign tests for rotational symmetry on hyperspheres. In Directional Statistics for Innovative Applications. Springer.
  4. 2. Verdebout, T. (2022). Directional Statistics: Theory. In Wiley Statsref: Statistics reference online. Wiley.
  5. 3. Paindaveine, D., & Verdebout, T. (2023). On the asymptotic behavior of the leading eigenvector of Tyler’s shape estimator under weak identifiability. In M. Yi & K. Nordhausen (Eds.), Robust multivariate statistical methods: Festschrift in Honor of David E. Tyler (pp. 45-64). Cham, Switzerland: Springer.
  6. 4. Francq, C., Verdebout, T., & Zakoian, J. M. (2023). Portmanteau Tests for Semiparametric Nonlinear Conditionally Heteroscedastic Time Series Models. In Research Papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi (pp. 123-153). Springer Nature. doi:10.1007/978-981-99-0803-5_5
  7. 5. 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.
  8. 6. 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.
  9. 7. Hallin, M., Swan, Y., & Verdebout, T. (2014). A Serial Version of Hodges and Lehmann's "6/pi Result". In Contemporary Developments in Statistical Theory, a Festschrift for Hira L. Koul (pp. 137-153). Springer.
    10.   Articles dans des revues avec comité de lecture (38)
  10. 1. García-Portugués, E., Lafaye De Micheaux, P., Meintanis, S., & Verdebout, T. (2023). Nonparametric tests of independence for circular data based on trigonometric moments. Statistica sinica.
  11. 2. Dabo-Niang, S., Thiam, B., & Verdebout, T. (2022). Asymptotic efficiency of some nonparametric tests for location on hyperspheres. Statistics & probability letters, 188, 109524. doi:10.1016/j.spl.2022.109524
  12. 3. Paindaveine, D., Rasoafaraniaina, R. J., & Verdebout, T. (2022). Preliminary multiple-test estimation, with applications to k-sample covariance estimation. Journal of the American Statistical Association, 117, 1904-1915.
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