Articles dans des revues avec comité de lecture (80)
25.
Paindaveine, D., Rasoafaraniaina, R. J., & Verdebout, T. (2017). Preliminary test estimation for multi-sample principal components. Econometrics and Statistics, 2, 106-116. doi:10.1016/j.ecosta.2017.01.004
26.
Oja, H., Paindaveine, D., & Taskinen, S. (2016). Affine-invariant rank tests for multivariate independence in independent component models. Electronic Journal of Statistics, 10, 2372-2419.
27.
Paindaveine, D., & Verdebout, T. (2016). On high-dimensional sign tests. Bernoulli, 22(3), 1745-1769. doi:10.3150/15-BEJ710
28.
Paindaveine, D., & Van Bever, G. (2015). Discussion of “Multivariate Functional Outlier Detection”, by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Statistical methods & applications, 24, 223-231.
29.
Dyckerhoff, R., Ley, C., & Paindaveine, D. (2015). Depth-based runs tests for bivariate central symmetry. Annals of the Institute of Statistical Mathematics, 67, 917-941.
30.
Ley, C., & Paindaveine, D. (2015). Discussion of "On families of distributions with shape parameters", by M.C. Jones. International statistical review, 83, 202-207.
31.
Hallin, M., Lu, Z., Paindaveine, D., & Siman, M. (2015). Local constant and local bilinear multiple-output quantile regression. Bernoulli, 21, 1435-1466.
32.
Charlier, I., Paindaveine, D., & Saracco, J. (2015). Conditional quantile estimation through optimal quantization. Journal of statistical planning and inference, 156, 14-30.
33.
Charlier, I., Paindaveine, D., & Saracco, J. (2015). Conditional quantile estimation based on optimal quantization: from theory to practice. Computational statistics & data analysis, 91, 20-39.
34.
Paindaveine, D., & Van Bever, G. (2015). Nonparametrically consistent depth-based classifiers. Bernoulli, 21, 62-82.
35.
Charlier, I., Paindaveine, D., & Saracco, J. (2015). QuantifQuantile: an R package for performing quantile regression through optimal quantization. The R journal, 7, 65-80.
36.
Ley, C., Paindaveine, D., & Verdebout, T. (2015). High-dimensional tests for spherical location and spiked covariance. Journal of Multivariate Analysis, 139, 79-91.