Article-Journal

Las nuevas oportunidades de big data para las instituciones financieras
This paper describes the current mass information environment, the so-called Big Data, in which financial institutions move today and …
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Modal clustering asymptotics with applications to bandwidth selection
Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the …
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On optimal tests for rotational symmetry against new classes of hyperspherical distributions
Motivated by the central role played by rotationally symmetric distributions in directional statistics, we consider the problem of …
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On Sobolev tests of uniformity on the circle with an extension to the sphere
Circular and spherical data arise in many applications, especially in biology, Earth sciences and astronomy. In dealing with such data, …
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On the power of axial tests of uniformity on spheres
Testing uniformity on the $p$-dimensional unit sphere is arguably the most fundamental problem in directional statistics. In this …
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Sign tests for weak principal directions
We consider inference on the first principal direction of a $p$-variate elliptical distribution. We do so in challenging double …
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Testing for principal component directions under weak identifiability
We consider the problem of testing, on the basis of a $p$-variate Gaussian random sample, the null hypothesis $\mathcal{H}_{0}$; …
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Testing multivariate uniformity based on random geometric graphs
We present new families of goodness-of-fit tests of uniformity on a full-dimensional set $W⊂ℝ^d$ based on statistics related to edge …
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Testing normality via a distributional fixed point property in the Stein characterization
We propose two families of tests for the classical goodness-of-fit problem to univariate normality. The new procedures are based on …
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Tests for multivariate normality – a critical review with emphasis on weighted $L^2$-statistics
This article gives a synopsis on new developments in affine invariant tests for multivariate normality in an i.i.d.-setting, with …
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