Search Results - "Mayo Iscar, A."

Robust clustering tools based on optimal transportation by del Barrio, E., Cuesta-Albertos, J. A., Matrán, C., Mayo-Íscar, A.

“…A robust clustering method for probabilities in Wasserstein space is introduced. This new ‘trimmed k -barycenters’ approach relies on recent results on…”
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Robust estimation in the normal mixture model based on robust clustering by Cuesta-Albertos, J.A, Matrán, C, Mayo-Iscar, A

“…We introduce a robust estimation procedure that is based on the choice of a representative trimmed subsample through an initial robust clustering procedure,…”
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Robust estimation of mixtures of regressions with random covariates, via trimming and constraints by García-Escudero, L. A., Gordaliza, A., Greselin, F., Ingrassia, S., Mayo-Iscar, A.

“…A robust estimator for a wide family of mixtures of linear regression is presented. Robustness is based on the joint adoption of the cluster weighted model and…”
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Time Series, Spectral Densities and Robust Functional Clustering by Rivera-García, D., García-Escudero, L. A., Mayo-Iscar, A., Ortega, J.

“…In this work, a robust clustering algorithm for stationary time series is proposed. The algorithm is based on the use of estimated spectral densities, which…”
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Exploring the number of groups in robust model-based clustering by García-Escudero, L. A., Gordaliza, A., Matrán, C., Mayo-Iscar, A.

“…Two key questions in Clustering problems are how to determine the number of groups properly and measure the strength of group-assignments. These questions are…”
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Robust clusterwise linear regression through trimming by García-Escudero, L.A., Gordaliza, A., Mayo-Iscar, A., San Martín, R.

“…The presence of clusters in a data set is sometimes due to the existence of certain relations among the measured variables which vary depending on some hidden…”
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Comments on “The power of monitoring: how to make the most of a contaminated multivariate sample” by García-Escudero, L. A., Gordaliza, A., Matrán, C., Mayo-Iscar, A.

“…These are comments on the invited paper “The power of monitoring: How to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani,…”
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Comments on: Multivariate functional outlier detection by García-Escudero, L. A., Gordaliza, A., Mayo-Iscar, A.

“…These are comments on the invited paper “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert…”
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On the breakdown behavior of the TCLUST clustering procedure by Ruwet, C., García-Escudero, L. A., Gordaliza, A., Mayo-Iscar, A.

“…Clustering procedures allowing for general covariance structures of the obtained clusters need some constraints on the solutions. With this in mind, several…”
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Comments on: model-based clustering and classification with non-normal mixture distributions by García-Escudero, L. A., Gordaliza, A., Mayo-Iscar, A.

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Interaction Between Surgical Procedure for Repairing Retinal Detachment and Clinical Risk Factors for Proliferative Vitreoretinopathy by Pastor, J. C., de la Rúa, E. Rodríguez, Aragón, J., Mayo-Iscar, A., Martínez, V., García-Arumí, J., Giraldo, A., Colmenares, M. R. Sanabria-Ruiz, Miranda, I.

“…Purpose: To asses risk factors of proliferative vitreoretinopathy (PVR) and a model for predicting it. Methods: Observational, case-control. 335 patients with…”
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A Robust Maximal F-Ratio Statistic to Detect Clusters Structure by García-Escudero, L. A., Gordaliza, A., Matrán, C., Mayo-Iscar, A.

“…A robustified version of the maximal F-ratio considered by Engelman-Hartigan to detect clusters structure is introduced. The robustification follows from the…”
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Cluster analysis with cellwise trimming and applications for the robust clustering of curves by García-Escudero, L.A., Rivera-García, D., Mayo-Iscar, A., Ortega, J.

“…In this work, we propose a robust cluster analysis methodology based on cellwise trimming as an extension to a robust version of Principal Component Analysis…”
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Blood Biomarkers Predicting Pancreatic Fistula: Preliminary Bivariate Analysis from the Early POstoperative BIomarkers in PancreatoDuodenectomy (EPOBIPD) Spanish Study by Rodriguez-Lopez, M., Jezieniecki-Fernandez, C., Montes-Manrique, M., Delgado-Mucientes, A., Lainez-Escribano, M., Trujillo-Diaz, J., Mayo-Iscar, A., Beltran de Heredia, J.

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Analysis of Alternative Fistula Risk Score in a Multicentric Spanish Cohort of Pancreatoduodenectomy (EPOBIPD Study) by Rodriguez-Lopez, M., Jezieniecki-Fernandez, C., Montes-Manrique, M., Delgado-Mucientes, A., Lainez-Escribano, M., Cabezudo-Molleda, G., Mayo-Iscar, A., Beltran de Heredia, J.

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Intraoperative Factors Associated with Complications after PD: Preliminary Analysis from a Multicentric Spanish Cohort (EPOBIPD Study) by Rodriguez-Lopez, M., Jezieniecki-Fernandez, C., Montes-Manrique, M., Delgado-Mucientes, A., Lainez-Escribano, M., Trujillo-Diaz, J., Cabezudo-Molleda, G., Mayo-Iscar, A., Beltran de Heredia, J.

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Early POstoperative BIomarkers in PancreatoDuodenectomy (EPOBIPD) Spanish Study: Postoperative Preliminary Descriptive Analysis by Rodriguez-Lopez, M., Jezieniecki-Fernandez, C., Montes-Manrique, M., Delgado-Mucientes, A., Lainez-Escribano, M., Cabezudo-Molleda, G., Mayo-Iscar, A., Beltran de Heredia, J.

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Early POstoperative BIomarkers in PancreatoDuodenectomy (EPOBIPD) Spanish Study: Pre- and Intraoperative Preliminary Descriptive Analysis by Rodriguez-Lopez, M., Jezieniecki-Fernandez, C., Montes-Manrique, M., Delgado-Mucientes, A., Lainez-Escribano, M., Mayo-Iscar, A., Trujillo-Diaz, J., Beltran de Heredia, J.

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Avoiding spurious local maximizers in mixture modeling by García-Escudero, L. A., Gordaliza, A., Matrán, C., Mayo-Iscar, A.

“…The maximum likelihood estimation in the finite mixture of distributions setting is an ill-posed problem that is treatable, in practice, through the EM…”
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The need for continuous immunosuppression with cyclosporin A to maintain an experimental model of uveal melanoma by Ordoñez, J L, Saornil, M A, Domingo, E, Blanco, G, Diebold, Y, Morilla-Grasa, A, Lopez, R, Rabano, G, Fernández, N, Mayo-Iscar, A

“…We investigated the need for continuous immunosuppression to maintain experimental tumours derived from human uveal melanoma cells implanted in the choroid of…”
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