9 citations · 24 across the 7 of their papers we have counts for
7 papers
A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
Zelong Bi, Pierre Lafaye de Micheaux
The manifold hypothesis suggests that high-dimensional data often lie on or near a low-dimensional manifold. Estimating the dimension of this manifold is essential for leveraging i…
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
Amuche Ibenegbu, Amandine Schaeffer, Pierre Lafaye de Micheaux +1
Bluebottles (\textit{Physalia} spp.) are marine stingers resembling jellyfish, whose presence on Australian beaches poses a significant public risk due to their venomous nature. Un…
A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution
Alain Desgagné, Pierre Lafaye de Micheaux, Frédéric Ouimet
In this paper we present the results from an empirical power comparison of 40 goodness-of-fit tests for the univariate Laplace distribution, carried out using Monte Carlo simulatio…
A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin
Benjamin Avanzi, Guillaume Boglioni Beaulieu, Pierre Lafaye de Micheaux +2
The Central Limit Theorem (CLT) is one of the most fundamental results in statistics. It states that the standardized sample mean of a sequence of mutually independent and iden…
Goodness-of-fit tests for Laplace, Gaussian and exponential power distributions based on -th power skewness and kurtosis
Alain Desgagné, Pierre Lafaye de Micheaux, Frédéric Ouimet
Temperature data, like many other measurements in quantitative fields, are usually modeled using a normal distribution. However, some distributions can offer a better fit while avo…
A uniform law of large numbers for functions of i.i.d. random variables that are translated by a consistent estimator
Pierre Lafaye de Micheaux, Frédéric Ouimet
We develop a new law of large numbers where the -th summand is given by a function evaluated at , and where is…