Articles dans des revues avec comité de lecture (80)
37.
Paindaveine, D., & Van Bever, G. (2014). Inference on the shape of elliptical distributions based on the MCD. Journal of Multivariate Analysis, 129, 125-144.
38.
Hallin, M., Paindaveine, D., & Verdebout, T. (2014). Efficient R-estimation of principal and common principal components. Journal of the American Statistical Association, 109(507), 1071-1083. doi:10.1080/01621459.2014.880057
39.
Paindaveine, D., & Van Bever, G. (2013). From Depth to Local Depth: A Focus on Centrality. Journal of the American Statistical Association, 105, 1105-1119.
40.
Paindaveine, D., & Siman, M. (2012). Computing multiple-output regression quantile regions from projection quantiles. Computational statistics, 27, 29-49.
41.
Paindaveine, D., & Šiman, M. (2012). Computing multiple-output regression quantile regions. Computational statistics & data analysis, 56, 840-853.
42.
Bennala, N., Hallin, M., & Paindaveine, D. (2012). Pseudo-Gaussian and rank-based optimal tests for random individual effects in large n small T panels. Journal of econometrics, 170, 50-67.
43.
Paindaveine, D., & Verdebout, T. (2012). Rank tests for elliptical graphical modeling. Journal de la Société française de statistique, 153, 82-100.
44.
Paindaveine, D., & Swan, Y. (2011). A stochastic analysis of some two-person sports. Studies in applied mathematics, 127, 221-249.
45.
Paindaveine, D., & Siman, M. (2011). On directional multiple-output quantile regression. Journal of Multivariate Analysis, 102, 193-212.
46.
Cassart, D., Hallin, M., & Paindaveine, D. (2011). A class of optimal tests for symmetry based on local Edgeworth approximations. Bernoulli, 17, 1063-1094.
47.
Ilmonen, S. P., & Paindaveine, D. (2011). Semiparametrically efficient inference based on signed ranks in symmetric independent component models. Annals of statistics, 39, 2448-2476.
48.
Loubes, J.-M., & Paindaveine, D. (2011). Local asymptotic normality property for lacunar wavelet series multifractal model. ESAIM. P&S, 15, 69-82.