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20122017
most citedKernel density estimation for directional-linear data

77 citations · 236 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.ME2017★ 46 cited

On optimal tests for rotational symmetry against new classes of hyperspherical distributions

Eduardo García-Portugués, Davy Paindaveine, Thomas Verdebout

Motivated by the central role played by rotationally symmetric distributions in directional statistics, we consider the problem of testing rotational symmetry on the hypersphere. W…

stat.ME2017★ 15 cited

Langevin diffusions on the torus: estimation and applications

Eduardo García-Portugués, Michael Sørensen, Kanti V. Mardia +1

We introduce stochastic models for continuous-time evolution of angles and develop their estimation. We focus on studying Langevin diffusions with stationary distributions equal to…

stat.ME2013★ 33 cited

A test for directional-linear independence, with applications to wildfire orientation and size

Eduardo García-Portugués, Ana M. G. Barros, Rosa M. Crujeiras +2

The relation between wildfire orientation and size is analyzed by means of a nonparametric test for directional-linear independence. The test statistic is designed for assessing th…

stat.ME2012★ 77 cited

Kernel density estimation for directional-linear data

Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga

A nonparametric kernel density estimator for directional-linear data is introduced. The proposal is based on a product kernel accounting for the different nature of both (direction…

stat.ME2012★ 38 cited

Exploring wind direction and SO2 concentration by circular-linear density estimation

Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga

The study of environmental problems usually requires the description of variables with different nature and the assessment of relations between them. In this work, an algorithm for…