By Associate Professor Pierre Lafaye de Micheaux

Journal articles

García-Portugués E; de Micheaux PL; Meintanis SG; Verdebout T, 2024, 'NONPARAMETRIC TESTS OF INDEPENDENCE FOR CIRCULAR DATA BASED ON TRIGONOMETRIC MOMENTS', Statistica Sinica, 34, pp. 567 - 588, http://dx.doi.org/10.5705/ss.202021.0416

Achard S; Coeurjolly JF; de Micheaux PL; Lbath H; Richiardi J, 2023, 'Inter-regional correlation estimators for functional magnetic resonance imaging', NeuroImage, 282, http://dx.doi.org/10.1016/j.neuroimage.2023.120388

LODI M; POTERIE A; EXARCHAKIS G; BRIEN C; LAFAYE DE MICHEAUX P; DERUELLE P; GALLIX B, 2023, 'Prediction of cesarean delivery in class III obese nulliparous women: An externally validated model using machine learning', Journal of Gynecology Obstetrics and Human Reproduction, 52, http://dx.doi.org/10.1016/j.jogoh.2023.102624

Desgagné A; Lafaye de Micheaux P; Ouimet F, 2023, 'Goodness-of-fit tests for Laplace, Gaussian and exponential power distributions based on λ-th power skewness and kurtosis', Statistics, 57, pp. 94 - 122, http://dx.doi.org/10.1080/02331888.2022.2144859

Henze N; Lafaye De Micheaux P; Meintanis SG, 2022, 'Tests for circular symmetry of complex-valued random vectors', Test, 31, pp. 488 - 518, http://dx.doi.org/10.1007/s11749-021-00788-6

Desgagné A; Lafaye de Micheaux P; Ouimet F, 2022, 'A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution', Journal of Statistical Computation and Simulation, 92, pp. 3743 - 3788, http://dx.doi.org/10.1080/00949655.2022.2082428

Geenens G; Lafaye de Micheaux P, 2022, 'The Hellinger Correlation', Journal of the American Statistical Association, 117, pp. 639 - 653, http://dx.doi.org/10.1080/01621459.2020.1791132

de Micheaux PL; Ouimet F, 2021, 'A study of seven asymmetric kernels for the estimation of cumulative distribution functions', Mathematics, 9, http://dx.doi.org/10.3390/math9202605

Leightner J; Inoue T; de Micheaux PL, 2021, 'Variable Slope Forecasting Methods and COVID-19 Risk', JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 14, http://dx.doi.org/10.3390/jrfm14100467

Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2021, 'A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables', Journal of Mathematical Analysis and Applications, 499, http://dx.doi.org/10.1016/j.jmaa.2021.124982

García-Portugués E; Micheaux PLD; Meintanis SG; Verdebout T, 2021, 'Nonparametric tests of independence for circular data based on trigonometric moments', , http://arxiv.org/abs/2104.14620v1

Beaulieu GB; De Micheaux PL; Ouimet F, 2021, 'Counterexamples to the classical central limit theorem for triplewise independent random variables having a common arbitrary margin', Dependence Modeling, 9, pp. 424 - 438, http://dx.doi.org/10.1515/demo-2021-0120

de Micheaux PL; Mozharovskyi P; Vimond M, 2021, 'Depth for Curve Data and Applications', Journal of the American Statistical Association, 116, pp. 1881 - 1897, http://dx.doi.org/10.1080/01621459.2020.1745815

Avanzi B; Beaulieu GB; de Micheaux PL; Ouimet F; Wong B, 2021, 'A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables', Journal of Mathematical Analysis and Applications, 499, pp. 124982, http://dx.doi.org/10.1016/j.jmaa.2021.124982

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

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

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

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