Article-Journal

Nonparametric estimation of the conditional survival function with double smoothing
In this paper, a conditional survival function estimator for censored data is studied. It is based on a double smoothing technique: …
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On testing the adequacy of the inverse Gaussian distribution
We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution based on a characterization of the cumulative …
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Preliminary multiple-test estimation, with applications to $k$-sample covariance estimation
Multisample covariance estimation-that is, estimation of the covariance matrices associated with $k$ distinct populations-is a …
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Testing normality in any dimension by Fourier methods in a multivariate Stein equation
We study a novel class of affine-invariant and consistent tests for multivariate normality. The tests are based on a characterization …
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Testing uniformity on high-dimensional spheres: The non-null behaviour of the Bingham test
In the framework of axial data, the most classical test of uniformity on the unit sphere of $\mathbb{R}^p$ is the Bingham (Ann. …
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Variable selection in functional regression models: A review
Despite of various similar features, Functional Data Analysis and High-Dimensional Data Analysis are two major fields in Statistics …
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A $k$NN procedure in semiparametric functional data analysis
A fast and flexible $k$-NN procedure is developed for dealing with a semiparametric functional regression model involving both …
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A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
The misclassification error distance and the adjusted Rand index are two of the most common criteria used to evaluate the performance …
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A computational validation for nonparametric assessment of spatial trends
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation …
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A goodness-of-fit test for the functional linear model with functional response
The Functional Linear Model with Functional Response (FLMFR) is one of the most fundamental models to assess the relation between two …
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