asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples. - Jean-François Coeurjolly; Rémy Drouilhet; Pierre Lafaye de Micheaux; Jean-François Robineau (R J., 2009)

ConvergenceConcepts: An R Package to Investigate Various Modes of Convergence. - Pierre Lafaye de Micheaux; Benoit Liquet (R J., 2009)

Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods. - Pierre Duchesne; Pierre Lafaye de Micheaux (Comput. Stat. Data Anal., 2010)

Image analysis and statistical inference in neuroimaging with R. - Karsten Tabelow; Jonathan D. Clayden; Pierre Lafaye de Micheaux; Jörg Polzehl; Volker J. Schmid; Brandon J. Whitcher (NeuroImage, 2011)

Group and sparse group partial least square approaches applied in genomics context. - Benoît Liquet; Pierre Lafaye de Micheaux; Boris P. Hejblum; Rodolphe Thiébaut (Bioinform., 2016)

Multivariate nonparametric test of independence. - Yanan Fan; Pierre Lafaye de Micheaux; Spiridon I. Penev; Donna Salopek (J. Multivar. Anal., 2017)

A goodness-of-fit test for elliptical distributions with diagnostic capabilities. - Gilles R. Ducharme; Pierre Lafaye de Micheaux (J. Multivar. Anal., 2020)

Inter-regional correlation estimators for functional magnetic resonance imaging. - Sophie Achard; Jean-François Coeurjolly; Pierre Lafaye de Micheaux; Hanâ Lbath; Jonas Richiardi (NeuroImage, 2023)

A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction. - Amuche Ibenegbu; Amandine Schaeffer; Pierre Lafaye de Micheaux; Rohitash Chandra (CoRR, 2025)