Search Results - "Berrendero, Jose R."

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  1. 1

    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

    Published in Cancer research (Chicago, Ill.) (01-10-2007)
    “…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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  2. 2

    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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  3. 3

    On functional logistic regression: some conceptual issues by Berrendero, José R., Bueno-Larraz, Beatriz, Cuevas, Antonio

    Published in Test (Madrid, Spain) (01-03-2023)
    “…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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  4. 4

    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.

    Published in The Annals of statistics (01-02-2007)
    “…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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  5. 5

    On the functional regression model and its finite-dimensional approximations by Berrendero, José R., Cholaquidis, Alejandro, Cuevas, Antonio

    Published in Statistical papers (Berlin, Germany) (01-10-2024)
    “…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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  6. 6

    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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  7. 7

    Shape classification based on interpoint distance distributions by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

    Published in Journal of multivariate analysis (01-04-2016)
    “…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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  8. 8

    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

    Published in The Journal of nutritional biochemistry (01-02-2017)
    “…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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  9. 9

    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

    Published in Mobile networks and applications (01-12-2017)
    “…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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  10. 10

    Tests for the Second Order Stochastic Dominance Based on L-Statistics by Berrendero, José R., Cárcamo, Javier

    Published in Journal of business & economic statistics (01-04-2011)
    “…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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  11. 11

    A geometrically motivated parametric model in manifold estimation by Berrendero, José R., Cholaquidis, Alejandro, Cuevas, Antonio, Fraiman, Ricardo

    Published in Statistics (Berlin, DDR) (03-09-2014)
    “…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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  12. 12

    A multivariate uniformity test for the case of unknown support by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

    Published in Statistics and computing (01-01-2012)
    “…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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  13. 13

    The Tangent Classifier by Berrendero, José R., Cárcamo, Javier

    Published in The American statistician (01-08-2012)
    “…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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  14. 14

    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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  15. 15

    Testing uniformity for the case of a planar unknown support by Berrendero, José R., Cuevas, Antonio, Pateiro-López, Beatriz

    Published in Canadian journal of statistics (01-06-2012)
    “…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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  16. 16

    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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  17. 17

    The Bagged Median and the Bragged Mean by Berrendero, José R

    Published in The American statistician (01-11-2007)
    “…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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  18. 18

    Testing multivariate uniformity: The distance-to-boundary method by Berrendero, José R., Cuevas, Antonio, Vjosázquez-grande, Francisco

    Published in Canadian journal of statistics (01-12-2006)
    “…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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  19. 19

    VARIABLE SELECTION IN FUNCTIONAL DATA CLASSIFICATION: A MAXIMA-HUNTING PROPOSAL by Berrendero, José R., Cuevas, Antonio, Torrecilla, José L.

    Published in Statistica Sinica (01-04-2016)
    “…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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  20. 20

    Uniform strong consistency of robust estimators by Berrendero, José R.

    Published in Statistics & probability letters (15-08-2003)
    “…In the robustness framework, the distribution underlying the data is not totally specified and, therefore, it is convenient to use estimators whose properties…”
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