Publications :
-
T. Rebafka, E. Roquain, F. Villers.
Powerful multiple testing of paired null hypotheses using a latent graph model.
Electronic Journal of Statistics, Vol. 16, Issue 1, 2796-2858 (2022)
-
C. Matias, T. Rebafka, F. Villers.
A
semiparametric extension of the
stochastic block model for longitudinal networks.
Biometrika, Vol. 105, Iss. 3, p. 665 - 680 (2018)
- paper : pdf
- supplément (généralisation du modèle): pdf
- R code : algorithm, simulations, illustration on datasets :
ppsbm_files.tgz.R
- Package : ppsbm
- C. Charbonnier, N.Verzelen, F. Villers.
A global Homogeneity Test for High-Dimensional Linear
Regression.
Electronic Journal of Statistics, Vol. 9, pp. 318-382 (2015)
- G. Blanchard, T. Dickhaus, E. Roquain, F. Villers.
On least favorable configurations for step-up down
tests
Statistica Sinica, Vol. 24, pp. 1-23 (2014)
pdf
- E. Roquain, F. Villers.
Exact calculations for false discovery proportion with
application to least favorable configurations.
The Annals of Statistics, Vol. 39 : Number 1, 584-612 (2011)
pdf,
supplement
- N. Verzelen, F. Villers.
Goodness-of-fit Tests for high-dimensional Gaussian linear
models.
The Annals of Statistics, Vol. 38 : Number 2, 704-752 (2010)
pdf
- N. Verzelen, F. Villers.
Tests for Gaussian graphical models.
Computational Statistics and Data Analysis, Vol. 53 : Issue 5, 1894-1905 (2009)
pdf
- F. Villers, B. Schaeffer, C. Bertin, S. Huet.
Assessing the validity domains of graphical gaussian models in
order to infer relationships among components of complex biological
systems.
Statistical Applications in Genetics and Molecular Biology:
Vol. 7 : Issue. 2, Article 14 (2008)
pdf
- J.F. Chich, O. David, F. Villers,
B. Schaeffer, D. Lutomski, S. Huet.
Statistics for proteomics : Experimental design and 2-DE
differential analysis.
Journal of Chromatography B, 849
: 261-272 (2007)
pdf
Thèse :
manuscrit