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Detecting outliers in high dimensional time series by dynamic factor models
A procedure to detect outliers in a large collection of time series is presented. The high-dimensional setting is handled by assuming …
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A review of goodness-of-fit tests for models involving functional data
A sizable amount of goodness-of-fit tests involving functional data have appeared in the last decade. We provide a relatively compact …
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Hippocampus shape analysis via skeletal models and kernel smoothing
Skeletal representations ($s$-reps) have been successfully adopted to parsimoniously parametrize the shape of three-dimensional …
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On the asymptotic behavior of the leading eigenvector of Tyler’s shape estimator under weak identifiability
We consider point estimation in an elliptical Principal Component Analysis framework. More precisely, we focus on the problem of …
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Portmanteau tests for semiparametric nonlinear conditionally heteroscedastic time series models
A class of multivariate time series models is considered, with general parametric specifications for the conditional mean and variance. …
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On weighted sign tests for rotational symmetry on hyperspheres
Rotational symmetry is a classical assumption when inference for directional data has to be performed. In the present paper, we study a …
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A Cramér–von Mises test of uniformity on the hypersphere
Testing uniformity of a sample supported on the hypersphere is one of the first steps when analysing multivariate data for which only …
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Statistical outline of animal home ranges: An application of set estimation
The home range of an individual animal describes the geographic area where it spends most of the time while carrying out its common …
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Una aplicación del análisis de series temporales funcionales a los precios horarios de la electricidad en el mercado MIBEL
Actualmente, muchas medidas se registran de manera prácticamente continua a lo largo del tiempo dando lugar a conjuntos de …
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Goodness-of-fit tests for functional linear models based on integrated projections
Functional linear models are one of the most fundamental tools to assess the relation between two random variables of a functional or …
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