Search Results - "BERRENDERO, José R"

On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification by Berrendero, José R., Cuevas, Antonio, Torrecilla, José L.

“…The Hájek-Feldman dichotomy establishes that two Gaussian measures are either mutually absolutely continuous with respect to each other (and hence there is a…”
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On functional logistic regression: some conceptual issues by Berrendero, José R., Bueno-Larraz, Beatriz, Cuevas, Antonio

“…The main ideas behind the classic multivariate logistic regression model make sense when translated to the functional setting, where the explanatory variable X…”
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On the functional regression model and its finite-dimensional approximations by Berrendero, José R., Cholaquidis, Alejandro, Cuevas, Antonio

“…The problem of linearly predicting a scalar response Y from a functional (random) explanatory variable X = X ( t ) , t ∈ I is considered. It is argued that the…”
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Linear components of quadratic classifiers by Berrendero, José R., Cárcamo, Javier

“…We obtain a decomposition of any quadratic classifier in terms of products of hyperplanes. These hyperplanes can be viewed as relevant linear components of the…”
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Shape classification based on interpoint distance distributions by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

“…According to Kendall (1989), in shape theory, The idea is to filter out effects resulting from translations, changes of scale and rotations and to declare that…”
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High-fat diet induces metabolic changes and reduces oxidative stress in female mouse hearts by Barba, Ignasi, Miró-Casas, Elisabet, Torrecilla, José L., Pladevall, Eulàlia, Tejedor, Sergi, Sebastián-Pérez, Rubén, Ruiz-Meana, Marisol, Berrendero, José R., Cuevas, Antonio, García-Dorado, David

“…After an acute myocardial infarction, obese patients generally have a better prognosis than their leaner counterparts, known as the “obesity paradox”. In…”
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Facing Network Management Challenges with Functional Data Analysis: Techniques & Opportunities by Muelas, David, López de Vergara, Jorge E., Berrendero, José R., Ramos, Javier, Aracil, Javier

“…Current fixed and mobile networks’ behavior is rapidly changing, which calls for flexible monitoring approaches to avoid loosing track with such a fast…”
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Tests for the Second Order Stochastic Dominance Based on L-Statistics by Berrendero, José R., Cárcamo, Javier

“…We use some characterizations of convex and concave-type orders to define discrepancy measures useful in two testing problems involving stochastic dominance…”
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A geometrically motivated parametric model in manifold estimation by Berrendero, José R., Cholaquidis, Alejandro, Cuevas, Antonio, Fraiman, Ricardo

“…The general aim of manifold estimation is reconstructing, by statistical methods, an m-dimensional compact manifold S on d (with m≤d) or estimating some…”
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A multivariate uniformity test for the case of unknown support by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

“…A test for the hypothesis of uniformity on a support S ⊂ℝ d is proposed. It is based on the use of multivariate spacings as those studied in Janson (Ann…”
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The Tangent Classifier by Berrendero, José R., Cárcamo, Javier

“…Given a classifier, we describe a general method to construct a simple linear classification rule. This rule, called the tangent classifier, is obtained by…”
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Tests for Stochastic Orders and Mean Order Statistics by Berrendero, José R., Cárcamo, Javier

“…The aim of this article is to emphasize the fact, not observed previously in the literature, that many discrepancy measures used in tests related to different…”
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Testing uniformity for the case of a planar unknown support by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

“…A new test is proposed for the hypothesis of uniformity on bi-dimensional supports. The procedure is an adaptation of the "distance to boundary test" (DB test)…”
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Characterizations of exponentiality within the HNBUE class and related tests by Berrendero, José R., Cárcamo, Javier

“…A harmonic new better than used in expectation (HNBUE) variable is a random variable which is dominated by an exponential distribution in the convex stochastic…”
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The Bagged Median and the Bragged Mean by Berrendero, José R

“…Bagging (bootstrap aggregating) is a procedure that aims at reducing the prediction error of a classifier or the mean square error of an estimate by averaging…”
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Testing multivariate uniformity: The distance-to-boundary method by Berrendero, José R., Cuevas, Antonio, Vjosázquez-grande, Francisco

“…Given a random sample taken on a compact domain${\cal S}\subset {\Bbb R}^{d}$, the authors propose a new method for testing the hypothesis of uniformity of the…”
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Loss of the mitochondrial bioenergetic capacity underlies the glucose avidity of carcinomas by LOPEZ-RIOS, Fernando, SANCHEZ-ARAGO, Maria, GARCIA-GARCIA, Elena, ORTEGA, Alvaro D, BERRENDERO, José R, POZO-RODRIGUEZ, Francisco, LOPEZ-ENCUENTRA, Angel, BALLESTIN, Claudio, CUEZVA, José M

“…The down-regulation of the catalytic subunit of the mitochondrial H+-ATP synthase (beta-F1-ATPase) is a hallmark of most human carcinomas. This characteristic…”
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VARIABLE SELECTION IN FUNCTIONAL DATA CLASSIFICATION: A MAXIMA-HUNTING PROPOSAL by Berrendero, José R., Cuevas, Antonio, Torrecilla, José L.

“…Variable selection is considered in the setting of supervised binary classification with functional data {X(t), t ∈ [0, 1]}. By "variable selection" we mean…”
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Maximum Bias Curves for Robust Regression with Non-Elliptical Regressors by Berrendero, Jose R., Zamar, Ruben H.

“…Maximum bias curves for some regression estimates were previously derived assuming that (i) the intercept term is known and/or (ii) the regressors have an…”
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On the Maximum Bias Functions of MM-Estimates and Constrained M-Estimates of Regression by Berrendero, José R., Mendes, Beatriz V. M., Tyler, David E.

“…We derive the maximum bias functions of the MM-estimates and the constrained M-estimates or CM-estimates of regression and compare them to the maximum bias…”
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