By Associate Professor Pierre Lafaye de Micheaux

Preprints

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

Avanzi B; Beaulieu GB; de Micheaux PL; Wong B, 2020, 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

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

Micheaux PLD; Mozharovskyi P; Vimond M, 2019, Depth for curve data and applications, https://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, https://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, https://doi.org/10.1016/j.spl.2018.06.006

Micheaux PLD; Liquet B; Sutton M, 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, https://arxiv.org/abs/1012.0269v1

Coeurjolly J-F; Drouilhet R; Micheaux PLD; Robineau J-F, 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

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