Search Results - "Maronna, Ricardo A."

Robust Estimates of Location and Dispersion for High-Dimensional Datasets by Maronna, Ricardo A, Zamar, Ruben H

“…The computing times of high-breakdown point estimates of multivariate location and scatter increase rapidly with the number of variables, which makes them…”
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Robust Ridge Regression for High-Dimensional Data by Maronna, Ricardo A.

“…Ridge regression, being based on the minimization of a quadratic loss function, is sensitive to outliers. Current proposals for robust ridge-regression…”
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Robust functional principal components for irregularly spaced longitudinal data by Maronna, Ricardo A.

“…Consider longitudinal data x ij , with i = 1 , . . . , n and j = 1 , . . . , p , where x ij is the observation of the smooth random function X i . at time t j…”
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Robust and efficient estimation of multivariate scatter and location by Maronna, Ricardo A., Yohai, Victor J.

“…Several equivariant estimators of multivariate location and scatter are studied, which are highly robust, have a controllable finite-sample efficiency and are…”
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Robust Estimators for Data Reconciliation by Llanos, Claudia E, Sanchéz, Mabel C, Maronna, Ricardo A

“…In this work, a comparative performance analysis of robust data reconciliation strategies is presented. The study involves two procedures based on the biweight…”
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Robust Estimation of Nonredundant Measurements and Equivalent Sets of Observations by Llanos, Claudia E, Sanchéz, Mabel C, Maronna, Ricardo A

“…The equation-oriented estimation of measurements constitutes the initial stage of many procedures devoted to optimizing a chemical plant. Nevertheless, the…”
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Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation by Llanos, Claudia E, Sánchez, Mabel C, Maronna, Ricardo A

“…A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates…”
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Optimal robust estimators for families of distributions on the integers by Maronna, Ricardo A., Yohai, Victor J.

“…Let F θ be a family of distributions with support on the set of nonnegative integers Z 0 . In this paper we derive the M-estimators with smallest gross error…”
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Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination by Maronna, Ricardo A.

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High finite-sample efficiency and robustness based on distance-constrained maximum likelihood by Maronna, Ricardo A., Yohai, Victor J.

“…Good robust estimators can be tuned to combine a high breakdown point and a specified asymptotic efficiency at a central model. This happens in regression with…”
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Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini by Maronna, Ricardo A., Yohai, Víctor J.

“…Comments on the “monitoring” method and its relationships with other robust estimation methods…”
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Dynamic System State Estimation and Outlier Detection Using Robust Data Reconciliation by Claudia E. Llanos, Mabel C. Sanchez, Ricardo A. Maronna

“…State estimation and detection of measurement systematic errors are critical components of plant monitoring and control procedures. Reliable estimations of the…”
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Correcting MM estimates for “fat” data sets by Maronna, Ricardo A., Yohai, Victor J.

“…Regression MM estimates require the estimation of the error scale, and the determination of a constant that controls the efficiency. These two steps are based…”
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Estimates of MM type for the multivariate linear model by Kudraszow, Nadia L., Maronna, Ricardo A.

“…We propose a class of robust estimates for multivariate linear models. Based on the approach of MM-estimation (Yohai 1987, [24]), we estimate the regression…”
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Robust nonlinear principal components by Maronna, Ricardo A., Méndez, Fernanda, Yohai, Víctor J.

“…All known approaches to nonlinear principal components are based on minimizing a quadratic loss, which makes them sensitive to data contamination. A predictive…”
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A robust methodology for the sensor fault detection and classification of systematic observation errors by Llanos, Claudia E., Sanchéz, Mabel C., Maronna, Ricardo A.

“…Robust Data Reconciliation enhances the quality of variable estimates when the data set contains a moderate proportion of atypical observations. But if…”
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Continuity and differentiability of regression M functionals by FASANO, MARÍA V., MARONNA, RICARDO A., SUED, MARIELA, YOHAI, VÍCTOR J.

“…This paper deals with the Fisher-consistency, weak continuity and differentiability of estimating functionals corresponding to a class of both linear and…”
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Robust Low-Rank Approximation of Data Matrices With Elementwise Contamination by Maronna, Ricardo A, Yohai, Víctor J

“…We propose a robust method to approximate an n × p data matrix with one of rank q. The method is based on Yohai's regression MM estimates. It is intended to be…”
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The Behavior of the Stahel-Donoho Robust Multivariate Estimator by Maronna, Ricardo A., Yohai, Víctor J.

“…The Stahel-Donoho estimators (t, V) of multivariate location and scatter are defined as a weighted mean and a weighted covariance matrix with weights of the…”
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Robust regression quantiles by Adrover, Jorge, Maronna, Ricardo A., Yohai, Víctor J.

“…The regression quantile estimate introduced by Koenker and Bassett in 1978 may not be robust when the predictors contain leverage points. We define estimates…”
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