By Associate Professor Pierre Lafaye de Micheaux

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

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

Micheaux PLD; Ouimet F, 2020, A study of seven asymmetric kernels for the estimation of cumulative distribution functions, 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, 2020, Tests for circular symmetry of complex-valued random vectors, http://arxiv.org/abs/2009.09216v2

Desgagné A; Micheaux PLD; Ouimet F, 2020, A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution, http://dx.doi.org/10.1080/00949655.2022.2082428

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://arxiv.org/abs/2003.01350

Ducharme GR; Micheaux PLD, 2019, A goodness-of-fit test for elliptical distributions with diagnostic capabilities, http://arxiv.org/abs/1902.03622v1

Micheaux PLD; Mozharovskyi P; Vimond M, 2019, Depth for curve data and applications, http://arxiv.org/abs/1901.00180v2

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

Desgagné A; Micheaux PLD; Ouimet F, 2018, Goodness-of-fit tests for Laplace, Gaussian and exponential power distributions based on $λ$-th power skewness and kurtosis, http://dx.doi.org/10.1080/02331888.2022.2144859

Micheaux PLD; Ouimet F, 2018, A uniform $L^1$ law of large numbers for functions of i.i.d. random variables that are translated by a consistent estimator, http://dx.doi.org/10.1016/j.spl.2018.06.006

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

Bordier C; Dojat M; Micheaux PLD, 2010, Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package, http://arxiv.org/abs/1012.0269v1

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, https://www.researchgate.net/publication/23970418_asympTest_an_R_package_for_performing_parametric_statistical_tests_and_confidence_intervals_based_on_the_central_limit_theorem

Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Wong B, A Counterexample to the Central Limit Theorem for Pairwise Independent Random Variables Having a Common Absolutely Continuous Arbitrary Margin, http://dx.doi.org/10.2139/ssrn.3547890

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