Pierre Lafaye de Micheaux

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data.
CoRR
Amuche Ibenegbu, Pierre Lafaye de Micheaux, Rohitash Chandra
2025 J jnl
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction.
CoRR
Amuche Ibenegbu, Amandine Schaeffer, Pierre Lafaye de Micheaux, Rohitash Chandra
2025 J jnl
Adaptive Heavy-Tailed Stochastic Gradient Descent.
CoRR
Bodu Gong, Gustavo Enrique Batista, Pierre Lafaye de Micheaux
2025 J jnl
Beyond PCA: Manifold Dimension Estimation via Local Graph Structure.
CoRR
Zelong Bi, Pierre Lafaye de Micheaux
2025 J jnl
Manifold Dimension Estimation: An Empirical Study.
CoRR
Zelong Bi, Pierre Lafaye de Micheaux
2023 J jnl
Inter-regional correlation estimators for functional magnetic resonance imaging.
NeuroImage
Sophie Achard, Jean-François Coeurjolly, Pierre Lafaye de Micheaux, Hanâ Lbath, Jonas Richiardi
2020 J jnl
A goodness-of-fit test for elliptical distributions with diagnostic capabilities.
J. Multivar. Anal.
Gilles R. Ducharme, Pierre Lafaye de Micheaux
2017 J jnl
Multivariate nonparametric test of independence.
J. Multivar. Anal.
Yanan Fan, Pierre Lafaye de Micheaux, Spiridon I. Penev, Donna Salopek
2016 J jnl
Group and sparse group partial least square approaches applied in genomics context.
Bioinform.
Benoît Liquet, Pierre Lafaye de Micheaux, Boris P. Hejblum, Rodolphe Thiébaut
2011 J jnl
Image analysis and statistical inference in neuroimaging with R.
NeuroImage
Karsten Tabelow, Jonathan D. Clayden, Pierre Lafaye de Micheaux, Jörg Polzehl, Volker J. Schmid, Brandon J. Whitcher
2010 J jnl
Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods.
Comput. Stat. Data Anal.
Pierre Duchesne, Pierre Lafaye de Micheaux
2009 J jnl
ConvergenceConcepts: An R Package to Investigate Various Modes of Convergence.
R J.
Pierre Lafaye de Micheaux, Benoit Liquet
2009 J jnl
asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples.
R J.
Jean-François Coeurjolly, Rémy Drouilhet, Pierre Lafaye de Micheaux, Jean-François Robineau