A factor model to analyze heterogeneity in gene expression. - Yuna Blum; Guillaume Le Mignon; Sandrine Lagarrigue; David Causeur (BMC Bioinform., 2010)

Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. - Chloé Friguet; David Causeur (Comput. Stat. Data Anal., 2011)

Preserving relationships between variables with MIVQUE based imputation for missing survey data. - Brigitte Gelein; David Haziza; David Causeur (J. Multivar. Anal., 2014)

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. - Roman Hornung; Anne-Laure Boulesteix; David Causeur (BMC Bioinform., 2016)

Stability of feature selection in classification issues for high-dimensional correlated data. - Émeline Perthame; Chloé Friguet; David Causeur (Stat. Comput., 2016)

Improving cross-study prediction through addon batch effect adjustment or addon normalization. - Roman Hornung; David Causeur; Christoph Bernau; Anne-Laure Boulesteix (Bioinform., 2017)

Prediction of Fatty Acids in the Rainbow Trout Oncorhynchus mykiss: A Raman Scattering Spectroscopy Approach. - Enora Prado; C. Eklouh-Molinier; F. Enez; C. Blay; M. Dupont-Nivet; L. Labbé; V. Petit; A. Moreac; Grégory Taupier; D. Guémené; P. Haffray; G. Corraze; et al. (ICTON, 2020)

An adaptive decorrelation procedure for signal detection. - Florian Hébert; David Causeur; Mathieu Emily (Comput. Stat. Data Anal., 2021)

Adaptive Handling of Dependence in High-Dimensional Regression Modeling. - Florian Hébert; David Causeur; Mathieu Emily (J. Comput. Graph. Stat., 2023)