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Mostrando ítems 11-15 de 15
Artículo
A sparsity-controlled vector autoregressive model
(Oxford University Press, 2017-04)
Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since sparseness, crucial to identify and visualize joint dependencies and relevant causalities, is not ...
Artículo
Minimum penalized φ-divergence estimation under model misspecification
(MDPI, 2018-04-30)
This paper focuses on the consequences of assuming a wrong model for multinomial data when using minimum penalized φ-divergence, also known as minimum penalized disparity estimators, to estimate the model parameters. These ...
Artículo
A discretization result for some optimization problems in framework spaces with polyhedral obstacles and the Manhattan metric
(Elsevier, 2018-07)
In this work we consider the shortest path problem and the single facility Weber location problem in any real space of finite dimension where there exist different types of polyhedral obstacles or forbidden regions. These ...
Artículo
Tests for the equality of conditional variance functions in nonparametric regression
(Institute of Mathematical Statistics, 2015)
In this paper we are interested in checking whether the conditional variances are equal in k ≥ 2 location-scale regression models. Our procedure is fully nonparametric and is based on the comparison of the error distributions ...
Artículo
Clustering categories in support vector machines
(Elsevier, 2016-02)
The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster Support Vector Machine (CLSVM) methodology is proposed with the aim to increase the sparsity of the SVM ...