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Solvay Brussels School - Economics & Management - Faculty picture

Davy Paindaveine

Core Faculty : Full-time

Contact address :

ULB zipcode : 114/04
Avenue F.D. Roosevelt 50
1050 Brussels
+3226503845
+32497441224
dpaindav [at] ulb [dot] ac [dot] be

Main affiliations

ULB, ECARES and Department of Mathematics

Member of

ECARES

Education

D. Paindaveine holds a Master in Mathematics (ULB, Science Faculty, 1998), a DEA in Statistics (ULB, Institute of Statistics and Operations Research, 1998), and a Ph.D. in Statistics (ULB, 2002). 

Short bio

Davy Paindaveine is full professor of Statistics at the Solvay Brussels School of Economics and Management, ULB. Since 2005, he is an elected member of the International Statistical Institute (ISI) and is a visiting professor at Université Pierre-et-Marie-Curie (Paris 6). In 2007, the American Statistical Association gave him the Gottfried E. Noether Young Scholar Award, for contributions to nonparametric statistics. The same year, he was bestowed the Adolphe Wetrems Prize by the Classe des Sciences of the Belgian Royal Academy. This price, created in 1926, is granted every year to a Belgian scientist rewarding "the most useful discovery or invention in physics, mathematics or the natural sciences," made during the previous year. He has been co-director of ECARES since 2006. He sits in the editorial board of several international journals, among which the Annals of Statistics. Since 2014, he is also Co-Editor-in-Chief of Statistics and Probability Letters. His research focuses on mathematical statistics.

Selected works

(View all publications)

  • Ilmonen, S. P., & Paindaveine, D. (2011). Semiparametrically efficient inference based on signed ranks in symmetric independent component models. Annals of statistics, 39, 2448-2476.
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  • Ley, C., & Paindaveine, D. (2010). On the singularity of multivariate skew-symmetric models. Journal of Multivariate Analysis, 101, 1434-1444.
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  • Hallin, M., Paindaveine, D., & Verdebout, T. (2010). Optimal rank-based testing for principal components. Annals of statistics, 38, 3245-3299.
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  • Paindaveine, D. (2009). On multivariate runs tests for randomness. Journal of the American Statistical Association, 104, 1525-1538.
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