Article-Journal

High expectations on phase locking: Better quantifying the concentration of circular data
The degree to which unimodal circular data are concentrated around the mean direction can be quantified using the mean resultant …
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Logistic or not logistic?
We propose a new class of goodness-of-fit tests for the logistic distribution based on a characterization related to the density …
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Minimum adjusted Rand index for two clusterings of a given size
The adjusted Rand index (ARI) is commonly used in cluster analysis to measure the degree of agreement between two data partitions. …
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NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
Interpretability of neural networks (NNs) and their underlying theoretical behavior remain an open field of study even after the great …
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On a projection-based class of uniformity tests on the hypersphere
We propose a projection-based class of uniformity tests on the hypersphere using statistics that integrate, along all possible …
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On new omnibus tests of uniformity on the hypersphere
Two new omnibus tests of uniformity for data on the hypersphere are proposed. The new test statistics exploit closed-form expressions …
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On the eigenvalues associated with the limit null distribution of the Epps--Pulley test of normality
The Shapiro–Wilk test (SW) and the Anderson–Darling test (AD) turned out to be strong procedures for testing for normality. …
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Probability of default estimation in credit risk using mixture cure models
An estimator of the probability of default (PD) in credit risk is proposed. It is derived from a nonparametric conditional survival …
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Scaled torus principal component analysis
A particularly challenging context for dimensionality reduction is multivariate circular data, i.e., data supported on a torus. Such …
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Stein's method meets computational statistics: A review of some recent developments
Stein’s method compares probability distributions through the study of a class of linear operators called Stein operators. While mainly …
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