By Associate Professor Pierre Lafaye de Micheaux

Preprints

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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