Search Results - "Zamar, Ruben H."

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…”
Get full text

Pooled variable scaling for cluster analysis by Raymaekers, Jakob, Zamar, Ruben H

“…Abstract Motivation Many popular clustering methods are not scale-invariant because they are based on Euclidean distances. Even methods using scale-invariant…”
Get full text

Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination by Agostinelli, Claudio, Leung, Andy, Yohai, Victor J., Zamar, Ruben H.

“…Multivariate location and scatter matrix estimation is a cornerstone in multivariate data analysis. We consider this problem when the data may contain…”
Get full text

Propagation of Outliers in Multivariate Data by Alqallaf, Fatemah, Van Aelst, Stefan, Yohai, Victor J., Zamar, Ruben H.

“…We investigate the performance of robust estimates of multivariate location under nonstandard data contamination models such as componentwise outliers (i.e.,…”
Get full text

Robust Linear Model Selection Based on Least Angle Regression by Khan, Jafar A, Van Aelst, Stefan, Zamar, Ruben H

“…In this article we consider the problem of building a linear prediction model when the number of candidate predictors is large and the data possibly contain…”
Get full text

Robust ranking by ensembling of diverse models and assessment metrics by Tomal, Jabed H., Welch, William J., Zamar, Ruben H.

“…We propose an ensemble of classification models formed using different assessment metrics. For a given metric, a classifier performs feature selection and…”
Get full text

Exploiting Multiple Descriptor Sets in QSAR Studies by Tomal, Jabed H, Welch, William J, Zamar, Ruben H

“…A quantitative structure–activity relationship (QSAR) is a model relating a specific biological response to the chemical structures of compounds. There are…”
Get full text

Dynamic variable selection in SNP genotype autocalling from APEX microarray data by Podder, Mohua, Welch, William J, Zamar, Ruben H, Tebbutt, Scott J

“…Single nucleotide polymorphisms (SNPs) are DNA sequence variations, occurring when a single nucleotide--adenine (A), thymine (T), cytosine (C) or guanine…”
Get full text

Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data by Danilov, Mike, Yohai, Víctor J, Zamar, Ruben H

“…Two main issues regarding data quality are data contamination (outliers) and data completion (missing data). These two problems have attracted much attention…”
Get full text

Comments on: Data science, big data and statistics by Van Aelst, Stefan, Zamar, Ruben H.

“…We praise Professors Galeano and Peña for this paper and for sharing their view on the impact of Big Data on Statistics and the emerging field of Data Science…”
Get full text

Using artificial censoring to improve extreme tail quantile estimates by Liu, Yang, Salibián-Barrera, Matías, Zamar, Ruben H., Zidek, James V.

“…Under certain regularity conditions, maximum-likelihood-based inference enjoys several optimality properties, including high asymptotic efficiency. However, if…”
Get full text

Fast robust estimation of prediction error based on resampling by Khan, Jafar A., Van Aelst, Stefan, Zamar, Ruben H.

“…Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap…”
Get full text

clues : An R Package for Nonparametric Clustering Based on Local Shrinking by Chang, Fang, Qiu, Weiliang, Zamar, Ruben H., Lazarus, Ross, Wang, Xiaogang

“…Determining the optimal number of clusters appears to be a persistent and controversial issue in cluster analysis. Most existing R packages targeting…”
Get full text

Bandwidth choice for robust nonparametric scale function estimation by Boente, Graciela, Ruiz, Marcelo, Zamar, Ruben H.

“…We introduce and compare several robust procedures for bandwidth selection when estimating the variance function. These bandwidth selectors are to be used in…”
Get full text

Least angle regression for model selection by Zhang, Hongyang, Zamar, Ruben H.

“…Model selection using least angle regression (LARS) is an interesting approach proposed by Efron B, Hastie T, Johnstone L, Tibshirani R. Least angle…”
Get full text

A Natural Robustification of the Ordinary Instrumental Variables Estimator by Freue, Gabriela V. Cohen, Ortiz-Molina, Hernan, Zamar, Ruben H.

“…Instrumental variables estimators are designed to provide consistent parameter estimates for linear regression models when some covariates are correlated with…”
Get full text

Bootstrapping Robust Estimates of Regression by Salibian-Barrera, Matias, Zamar, Ruben H.

“…We introduce a new computer-intensive method to estimate the distribution of robust regression estimates. The basic idea behind our method is to bootstrap a…”
Get full text

Population density and feeding duration of cabbage looper larvae on tomato plants alter the levels of plant volatile emissions by Miresmailli, Saber, Gries, Regine, Gries, Gerhard, Zamar, Ruben H, Isman, Murray B

“…BACKGROUND: As part of their indirect defense, plants under herbivore attack release volatile chemicals that attract natural enemies of the herbivore. This is…”
Get full text

Robust and efficient estimation of the residual scale in linear regression by Van Aelst, Stefan, Willems, Gert, Zamar, Ruben H.

“…Robustness and efficiency of the residual scale estimators in the regression model is important for robust inference. We introduce the class of robust…”
Get full text

CLUES: A non-parametric clustering method based on local shrinking by Wang, Xiaogang, Qiu, Weiliang, Zamar, Ruben H.

“…A novel non-parametric clustering method based on non-parametric local shrinking is proposed. Each data point is transformed in such a way that it moves a…”
Get full text