Articles dans des revues avec comité de lecture (188)

  1. 52. Hallin, M., Paindaveine, D., & Verdebout, T. (2010). Optimal rank-based testing for principal components. Annals of statistics, 38, 3245-3299.
  2. 53. Hallin, M., Paindaveine, D., & Verdebout, T. (2010). Testing for common principal components under heterokurticity. Journal of nonparametric statistics, 22, 879-895.
  3. 54. Hallin, M. (2009). Discussion of "Invariant coordinate selection", by D.E. Tyler, F. Critchley, L. Dümbgen, and H. Oja. Journal of the Royal Statistical Society. Series B. Methodological, 71, 583-584.
  4. 55. Hallin, M., & Paindaveine, D. (2009). Optimal tests for homogeneity of covariance, scale and shape. Journal of Multivariate Analysis, 100, 422-444.
  5. 56. Hallin, M., Yu, K., & Lu, Z. (2009). Local linear spatial quantile regression. Bernoulli, 15(3), 659-686.
  6. 57. Hallin, M., Vermandele, C., & Werker, B. (2008). Semiparametrically efficient inference based on signs and ranks statistics for median-restricted models. Royal Statistical Society. Journal. Series B: Statistical Methodology, 70(2), 389-412. doi:10.1111/j.1467-9868.2007.00641.x
  7. 58. Hallin, M., & Paindaveine, D. (2008). Optimal rank-based tests for homogeneity of scatter. Annals of statistics, 36, 1261-1298.
  8. 59. Hallin, M., & Paindaveine, D. (2008). A general method for constructing pseudo-Gaussian tests. Journal of the Japan Statistical Society, 38, 27-40.
  9. 60. Cassart, D., Hallin, M., & Paindaveine, D. (2008). Optimal detection of Fechner-asymmetry. Journal of Statistical Planning and Inference, 138, 2499-2525.
  10. 61. Hallin, M., Paindaveine, D., & Verdebout, T. (2008). Pseudo-Gaussian inference in heterokurtic elliptical common principal components models. Annales de l'I S U P, LII, 9-24.
  11. 62. Hallin, M. (2007). Happy birthday to you, Mr. Wilcoxon! Invariance, semiparametric efficiency, and ranks. Studies in Classification, Data Analysis, and Knowledge Organization, 217-228.
  12. 63. Hallin, M., & Saidi, A. (2007). Optimal tests for non-correlation between multivariate time series. American Statistical Association. Journal, 102, 938-951.

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