By Associate Professor Pierre Lafaye de Micheaux

Journal articles

Micheaux PLD; Ouimet F; Lafaye de Micheaux P, 2020, 'A study of seven asymmetric kernels for the estimation of cumulative distribution functions', Mathematics, 9, http://dx.doi.org/10.3390/math9202605

Achard S; Coeurjolly J-F; Micheaux PLD; Richiardi J; Lafaye de Micheaux P, 2020, 'Robust correlation for aggregated data with spatial characteristics',

Henze N; Micheaux PLD; Meintanis SG; Lafaye de Micheaux P, 2020, 'Tests for circular symmetry of complex-valued random vectors', Test, 35, https://link.springer.com/article/10.1007%2Fs11749-021-00788-6

Desgagné A; Micheaux PLD; Ouimet F; Lafaye de Micheaux P, 2020, 'A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution', Journal of Statistical Computation and Simulation (2022), 92 (18), 3743-3788

Ducharme GR; Lafaye de Micheaux P, 2020, 'A goodness-of-fit test for elliptical distributions with diagnostic capabilities', Journal of Multivariate Analysis, 178, pp. 104602, http://dx.doi.org/10.1016/j.jmva.2020.104602

Duchesne P; Lafaye de Micheaux P; Tagne Tatsinkou JF, 2020, 'On strong consistency and asymptotic normality of one-step Gauss-Newton estimators in ARMA time series models', Statistics, 54, pp. 1030 - 1057, http://dx.doi.org/10.1080/02331888.2020.1830095

Lafaye De Micheaux P; Liquet B; Sutton M, 2019, 'PLS for Big Data: A unified parallel algorithm for regularised group PLS', Statistics Surveys, 13, pp. 119 - 149, http://dx.doi.org/10.1214/19-SS125

Lafaye de Micheaux P; Ouimet F, 2018, 'A uniform L¹ law of large numbers for functions of i.i.d. random variables that are translated by a consistent estimator', Statistics and Probability Letters, 142, pp. 109 - 117, http://dx.doi.org/10.1016/j.spl.2018.06.006

Desgagné A; Lafaye de Micheaux P, 2018, 'A powerful and interpretable alternative to the Jarque–Bera test of normality based on 2nd-power skewness and kurtosis, using the Rao's score test on the APD family', Journal of Applied Statistics, 45, pp. 2307 - 2327, http://dx.doi.org/10.1080/02664763.2017.1415311

Desgagné A; Micheaux PLD; Ouimet F; Lafaye de Micheaux P, 2018, 'Asymptotic law of a modified score statistic for the asymmetric power distribution with unknown location and scale parameters', Statistics (2023), 57 (1), 94-122

Buré L; Boucher LM; Blumenkrantz M; Schob S; De Micheaux PL; Reinhold C; Gallix B, 2017, 'Can magnetic resonance spectroscopy differentiate malignant and benign causes of lymphadenopathy? An in-vitro approach', PLoS ONE, 12, pp. e0182169, http://dx.doi.org/10.1371/journal.pone.0182169

Micheaux PLD; Liquet B; Sutton M; Lafaye de Micheaux P, 2017, 'A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data', ArXiv, https://arxiv.org/abs/1702.07066

Fan Y; de Micheaux PL; Penev S; Salopek D, 2017, 'Multivariate nonparametric test of independence', Journal of Multivariate Analysis, 153, pp. 189 - 210, http://dx.doi.org/10.1016/j.jmva.2016.09.014

Wen W; Thalamuthu A; Mather KA; Zhu W; Jiang J; De Micheaux PL; Wright MJ; Ames D; Sachdev PS, 2016, 'Distinct Genetic Influences on Cortical and Subcortical Brain Structures', Scientific Reports, 6, pp. 32760 - 32760, http://dx.doi.org/10.1038/srep32760

Duchesne P; Lafaye De Micheaux P; Tagne Tatsinkou J, 2016, 'Estimating the mean and its effects on Neyman smooth tests of normality for ARMA models', Canadian Journal of Statistics, 44, pp. 241 - 270, http://dx.doi.org/10.1002/cjs.11292

Delorme P; de Micheaux PL; Liquet B; Riou J, 2016, 'Type-II generalized family-wise error rate formulas with application to sample size determination', Statistics in Medicine, 35, pp. 2687 - 2714, http://dx.doi.org/10.1002/sim.6909

de Micheaux PL; Tran VA, 2016, 'PoweR: A reproducible research tool to ease monte carlo power simulation studies for goodness-of-fit tests in R', Journal of Statistical Software, 69, pp. 1 - 44, http://dx.doi.org/10.18637/jss.v069.i03

Ducharme GR; Lafaye de Micheaux P; Marchina B, 2016, 'The complex multinormal distribution, quadratic forms in complex random vectors and an omnibus goodness-of-fit test for the complex normal distribution', Annals of the Institute of Statistical Mathematics, 68, pp. 77 - 104, http://dx.doi.org/10.1007/s10463-014-0486-5

Liquet B; De Micheaux PL; Hejblum BP; Thiébaut R, 2016, 'Group and sparse group partial least square approaches applied in genomics context', Bioinformatics, 32, pp. 35 - 42, http://dx.doi.org/10.1093/bioinformatics/btv535

Bilodeau M; de Micheaux PL; Mahdi S, 2015, 'The R package groc for generalized regression on orthogonal components', Journal of Statistical Software, 65, pp. 1 - 29, http://dx.doi.org/10.18637/jss.v065.i01

Haddadi A; Ledmani M; Gainier M; Hubert H; De Micheaux PL, 2014, 'Comparing the APACHE II, SOFA, LOD, and SAPS II scores in patients who have developed a nosocomial infection', Bangladesh Critical Care Journal, 2, pp. 4 - 9, http://dx.doi.org/10.3329/bccj.v2i1.19949

Lafaye De Micheaux P; Liquet B; Marque S; Riou J, 2014, 'Power and sample size determination in clinical trials with multiple primary continuous correlated endpoints', Journal of Biopharmaceutical Statistics, 24, pp. 378 - 397, http://dx.doi.org/10.1080/10543406.2013.860156

Duchesne P; Lafaye de Micheaux P, 2013, 'Distributions for residual autocovariances in parsimonious periodic vector autoregressive models with applications', Journal of Time Series Analysis, 34, pp. 496 - 507, http://dx.doi.org/10.1111/jtsa.12026

Marteau P; Guyonnet D; Lafaye de Micheaux P; Gelu S, 2013, 'A randomized, double-blind, controlled study and pooled analysis of two identical trials of fermented milk containing probiotic Bifidobacterium lactis CNCM I-2494 in healthy women reporting minor digestive symptoms', Neurogastroenterology and Motility, 25, http://dx.doi.org/10.1111/nmo.12078

Nicoli F; Lafaye De Micheaux P; Girard N, 2013, 'Perfusion-weighted imaging-derived collateral flow index is a predictor of MCA M1 recanalization after IV thrombolysis', American Journal of Neuroradiology, 34, pp. 107 - 114, http://dx.doi.org/10.3174/ajnr.A3174

Desgagné A; De Micheaux PL; Leblanc A, 2013, 'Test of normality against generalized exponential power alternatives', Communications in Statistics - Theory and Methods, 42, pp. 164 - 190, http://dx.doi.org/10.1080/03610926.2011.577548

Lafaye de Micheaux P; Léger C, 2012, 'A law of the single logarithm for weighted sums of arrays applied to bootstrap model selection in regression', Statistics and Probability Letters, 82, pp. 965 - 971, http://dx.doi.org/10.1016/j.spl.2012.01.018

Micheaux PLD; Lemaire V, 2012, 'Sample Size Determination and Statistical Hypothesis Testing for Core Centration in Press Coated Tablets', Open Journal of Statistics, 02, pp. 269 - 273, http://dx.doi.org/10.4236/ojs.2012.23032

Bordier C; Dojat M; Micheaux PLD; Lafaye de Micheaux P, 2011, 'Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package', Journal of Statistical Software, 44, pp. 9, http://dx.doi.org/10.18637/jss.v044.i09

Tabelow K; Clayden JD; Lafaye de Micheaux P; Polzehl J; Schmid VJ; Whitcher B, 2011, 'Image analysis and statistical inference in neuroimaging with R', NeuroImage, 55, pp. 1686 - 1693, http://dx.doi.org/10.1016/j.neuroimage.2011.01.013

Bordier C; Dojat M; de Micheaux PL, 2011, 'Temporal and spatial independent component analysis for fMRI data sets embedded in the analyzeFMRI R package', Journal of Statistical Software, 44, pp. 1 - 24, http://dx.doi.org/10.18637/jss.v044.i09

Duchesne P; Lafaye De Micheaux P, 2010, 'Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods', Computational Statistics and Data Analysis, 54, pp. 858 - 862, http://dx.doi.org/10.1016/j.csda.2009.11.025

Bilodeau M; Lafaye de Micheaux P, 2009, 'A-dependence statistics for mutual and serial independence of categorical variables', Journal of Statistical Planning and Inference, 139, pp. 2407 - 2419, http://dx.doi.org/10.1016/j.jspi.2008.11.006

De Micheaux PL; Liquet B, 2009, 'Teacher's corner understanding convergence concepts: A visual-minded and graphical simulation-based approach', American Statistician, 63, pp. 173 - 178, http://dx.doi.org/10.1198/tas.2009.0032

Coeurjolly J-F; Drouilhet R; Micheaux PLD; Robineau J-F; Lafaye de Micheaux P, 2009, 'asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem', ArXiv, https://www.researchgate.net/publication/23970418_asympTest_an_R_package_for_performing_parametric_statistical_tests_and_confidence_intervals_based_on_the_central_limit_theorem

Coeurjolly JF; Drouilhet R; Lafaye de Micheaux P; Robineau JF, 2009, 'asympTest: A simple R package for classical parametric statistical tests and confidence intervals in large samples', R Journal, 1, pp. 26 - 30, http://dx.doi.org/10.32614/rj-2009-015

De Micheaux PL; Liquet B, 2009, 'Convergenceconcepts: An R package to investigate various modes of convergence', R Journal, 1, pp. 18 - 25, http://dx.doi.org/10.32614/rj-2009-011

de Micheaux PL; Liquet B, 2009, 'Understanding Convergence Concepts: A Visual-Minded and Graphical Simulation-Based Approach', AMERICAN STATISTICIAN, 63, pp. 173 - 178, http://dx.doi.org/10.1198/tas.2009.0032

Cenier T; Amat C; Litaudon P; Garcia S; Lafaye De Micheaux P; Liquet B; Roux S; Buonviso N, 2008, 'Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat', European Journal of Neuroscience, 27, pp. 1432 - 1440, http://dx.doi.org/10.1111/j.1460-9568.2008.06123.x

Beran R; Bilodeau M; Lafaye de Micheaux P, 2007, 'Nonparametric tests of independence between random vectors', Journal of Multivariate Analysis, 98, pp. 1805 - 1824, http://dx.doi.org/10.1016/j.jmva.2007.01.009

Dubois M; Lafaye De Micheaux P; Noë MP; Valdois S, 2007, 'Preorthographical constraints on visual word recognition: Evidence from a case study of developmental surface dyslexia', Cognitive Neuropsychology, 24, pp. 623 - 660, http://dx.doi.org/10.1080/02643290701617330

Bilodeau M; Lafaye de Micheaux P, 2005, 'A multivariate empirical characteristic function test of independence with normal marginals', Journal of Multivariate Analysis, 95, pp. 345 - 369, http://dx.doi.org/10.1016/j.jmva.2004.08.011

Bilodeau A; de Micheaux PL, 2005, 'A multivariate empirical characteristic function test of independence with normal marginals', JOURNAL OF MULTIVARIATE ANALYSIS, 95, pp. 345 - 369, http://dx.doi.org/10.1016/j.jmva.2004.08.01

Ducharme GR; De Micheaux PL, 2004, 'Goodness-of-fit tests of normality for the innovations in ARMA models', Journal of Time Series Analysis, 25, pp. 373 - 395, http://dx.doi.org/10.1111/j.1467-9892.2004.01875.x

Conference Papers

Lafaye De Micheaux P; Meintanis S; Verdebout T, 2020, 'Tests for Independence Involving Spherical Data', in Springer Proceedings in Mathematics and Statistics, pp. 295 - 304, http://dx.doi.org/10.1007/978-3-030-57306-5_27

Conference Abstracts

Lafaye de Micheaux P; Liquet B; Sachdev PS; Thalamuthu A; Wen W, 2014, 'New statistical tools to study heritability of the brain', in Proceedings of the Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting 2014, Sydney, Australia, presented at Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting 2014, Sydney, Australia, 07 July 2014 - 10 July 2014

Working Papers

Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2020, A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin, http://dx.doi.org, http://arxiv.org/abs/2003.01350

Geenens G; Lafaye de Micheaux P, 2018, The Hellinger Correlation, http://dx.doi.org, https://arxiv.org/abs/1810.10276

Preprints

Ibenegbu A; Schaeffer A; Micheaux PLD; Chandra R, 2025, A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction, http://arxiv.org/abs/2501.11293v1

Béclin M-F; Micheaux PLD; Molinari N; Ouimet F, 2024, A linear regression model for quantile function data applied to paired pulmonary 3d CT scans, http://arxiv.org/abs/2412.15049v1

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