Ruben H. Zamar

发表

A natural framework for sparse hierarchical clustering pdf

Hongyang Zhang, Ruben H. Zamar, 2014, ArXiv.

Linear grouping using orthogonal regression

Xiaogang Wang, Stefan Van Aelst, Ruben H. Zamar, 2006, Comput. Stat. Data Anal..

CLUES: A non-parametric clustering method based on local shrinking

Xiaogang Wang, Ruben H. Zamar, Weiliang Qiu, 2007, Comput. Stat. Data Anal..

Nearest‐neighbors medians clustering

Ruben H. Zamar, Daniel Peña, Júlia Viladomat, 2012, Stat. Anal. Data Min..

Clues: an R Package for Nonparametric Clustering Based on Local Shrinking

Xiaogang Wang, Ruben H. Zamar, Weiliang Qiu, 2022 .

Robust regression estimation and inference in the presence of cellwise and casewise contamination

Hongyang Zhang, Ruben H. Zamar, Andy Leung, 2015, Comput. Stat. Data Anal..

Exploiting Multiple Descriptor Sets in QSAR Studies

Ruben H. Zamar, William J. Welch, Jabed H. Tomal, 2016, J. Chem. Inf. Model..

Special Issue on Advances in Data Mining and Robust Statistics

Stefan Van Aelst, Ruben H. Zamar, Giovanni Montana, 2016, Comput. Stat. Data Anal..

Pooled variable scaling for cluster analysis

Ruben H. Zamar, Jakob Raymaekers, R. Zamar, 2019, Bioinform..

Multivariate location and scatter matrix estimation under cellwise and casewise contamination

Ruben H. Zamar, Victor J. Yohai, Andy Leung, 2017, Comput. Stat. Data Anal..

Ensembles of phalanxes across assessment metrics for robust ranking of homologous proteins

Ruben H. Zamar, William J. Welch, Jabed H. Tomal, 2017 .

A robust linear grouping algorithm

Stefan Van Aelst, Ruben H. Zamar, Greet Pison, 2006 .

Rejoinder on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination

Ruben H. Zamar, Victor J. Yohai, Andy Leung, 2015 .

A Procedure for Robust Estimation and Inference in Linear Regression

Ruben H. Zamar, Werner A. Stahel, Victor J. Yohai, 1991 .

Automatic genotype calling of single nucleotide polymorphisms using a linear grouping algorithm

Ruben H. Zamar, William J. Welch, Guohua Yan, 2011, 2011 Seventh International Conference on Natural Computation.

Robust and efficient estimation of the residual scale in linear regression

Stefan Van Aelst, Ruben H. Zamar, Gert Willems, 2013, J. Multivar. Anal..

Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices

Ruben H. Zamar, Alan Wagner, Raymond T. Ng, 2006, Algorithmica.

Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination

Ruben H. Zamar, Victor J. Yohai, Andy Leung, 2014 .

Robust Estimates of Location and Dispersion for High-Dimensional Datasets

Ruben H. Zamar, Ricardo A. Maronna, R. Maronna, 2002, Technometrics.

MDQC: a new quality assessment method for microarrays based on quality control reports

Ruben H. Zamar, Raymond T. Ng, Bruce McManus, 2007, Bioinform..

Exploring Rated Datasets with Rating Maps

Laks V. S. Lakshmanan, Sihem Amer-Yahia, Ruben H. Zamar, 2017, WWW.

Extracting relational data from HTML repositories

Laks V. S. Lakshmanan, Ruben H. Zamar, Ruth Yuee Zhang, 2004, SKDD.

Dynamic variable selection in SNP genotype autocalling from APEX microarray data

Ruben H. Zamar, William J. Welch, Mohua Podder, 2006, BMC Bioinformatics.

Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series

Ruben H. Zamar, Daniel Peña, Ruey S. Tsay, 2019, Technometrics.

Robust Clustering Using Tau-Scales

Ruben H. Zamar, Victor J. Yohai, Juan D. Gonzalez, 2019, 1906.08198.

Bandwidth choice for robust nonparametric scale function estimation

Ruben H. Zamar, Graciela Boente, Marcelo Ruiz, 2012, Comput. Stat. Data Anal..

Regularized K-means through hard-thresholding pdf

Ruben H. Zamar, Jakob Raymaekers, R. Zamar, 2020, ArXiv.

Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices

Ruben H. Zamar, Alan Wagner, Raymond T. Ng, 2006, Algorithmica.

Building a robust linear model with forward selection and stepwise procedures

Stefan Van Aelst, Ruben H. Zamar, Jafar A. Khan, 2007, Comput. Stat. Data Anal..

Comments on: Data science, big data and statistics

Stefan Van Aelst, Ruben H. Zamar, S. Van Aelst, 2019, TEST.

Fast robust variable selection

Stefan Van Aelst, Ruben H. Zamar, Jafar A Khan, 2008 .

Robust space transformations for distance-based operations

Ruben H. Zamar, Raymond T. Ng, Edwin M. Knorr, 2001, KDD '01.

Scalable robust covariance and correlation estimates for data mining

Ruben H. Zamar, R. Douglas Martin, Fatemah A. Alqallaf, 2002, KDD.

RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm

Ruben H. Zamar, Matias Salibian-Barrera, Yumi Kondo, 2016 .

Special issue on variable selection and robust procedures

Stefan Van Aelst, Ruben H. Zamar, Roy E. Welsch, 2010, Comput. Stat. Data Anal..

Fast robust estimation of prediction error based on resampling

Stefan Van Aelst, Ruben H. Zamar, Jafar A. Khan, 2010, Comput. Stat. Data Anal..

Finding and Exploring Rating Distributions (Technical Report)

Sihem Amer-Yahia, Ruben H. Zamar, Sofia Kleisarchaki, 2016 .

A global test for effects in 2k factorial design without replicates

Ruben H. Zamar, Nhu D. Le, 1992 .

Least angle regression for model selection

Ruben H. Zamar, Hongyang Zhang, Hongyang R. Zhang, 2014 .

Comparing the shapes of regression functions

Ruben H. Zamar, Nancy E. Heckman, R. Zamar, 2000 .

Maximum Bias Curves for Robust Regression with Non-elliptical Regressors

Ruben H. Zamar, José R. Berrendero, 2001 .

Binary-image restoration

Ruben H. Zamar, J. Meloche, R. Zamar, 1994 .

Robustness against unexpected dependence in the location model

Ruben H. Zamar, R. Zamar, 1990 .

Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data

Ruben H. Zamar, V. Yohai, R. Zamar, 2012 .

Robust nonparametric inference for the median

Ruben H. Zamar, Victor J. Yohai, 2004 .

Globally robust inference for the location and simple linear regression models

Ruben H. Zamar, Matias Salibian-Barrera, J. Adrover, 2004 .

The Fast-τ Estimator for Regression

Ruben H. Zamar, Gert Willems, Matias Salibian-Barrera, 2008 .

An Iterative Non-parametric Clustering Algorithm Based on Local Shrinking

Xiaogang Wang, Ruben H. Zamar, Xiaogang Wang, 2006 .

Using artificial censoring to improve extreme tail quantile estimates

Ruben H. Zamar, Yang Liu, James V. Zidek, 2018 .

Robust estimation of error scale in nonparametric regression models

Ruben H. Zamar, Isabella Ghement, Marcelo Ruiz, 2008 .

Uniform asymptotics for robust location estimates when the scale is unknown

Ruben H. Zamar, Matias Salibian-Barrera, R. Zamar, 2004, math/0410079.

Bias Robust Estimation in Orthogonal Regression

Ruben H. Zamar, R. Zamar, 1992 .

Diagnosing Multivariate Outliers Detected by Robust Estimators

Ruben H. Zamar, Gert Willems, Harry Joe, 2009 .

On a robust local estimator for the scale function in heteroscedastic nonparametric regression

Ruben H. Zamar, Graciela Boente, Marcelo Ruiz, 2010 .

Propagation of outliers in multivariate data

Stefan Van Aelst, Ruben H. Zamar, Victor J. Yohai, 2009, 0903.0447.