R. Zamar

发表

Robust estimation in the errors-in-variables model

R. Zamar, 1989 .

A multivariate Kolmogorov-Smirnov test of goodness of fit

R. Zamar, A. Justel, D. Peña, 1997 .

Exploring Rated Datasets with Rating Maps

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

On Bayesian Robustness: An Asymptotic Approach

R. Zamar, D. Peña, 1996 .

A simple diagnostic tool for local prior sensitivity

R. Zamar, D. Peña, 1997 .

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

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

Linear grouping using orthogonal regression

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

Binary-image restoration

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

Robust Linear Model Selection Based on Least Angle Regression

Jafar A. Khan, S. Van Aelst, R. Zamar, 2007 .

A likelihood approach to linear clustering

W. Welch, R. Zamar, G. Yan, 2010 .

Model‐based linear clustering

W. Welch, R. Zamar, G. Yan, 2010 .

Robust linear clustering

S. Van Aelst, R. Zamar, A. Gordaliza, 2009 .

Bootstrapping robust estimates of regression

R. Zamar, M. Salibian-Barrera, M. Salibián‐Barrera, 2002 .

Bias robustness of three median-based regression estimates

J. Adrover, R. Zamar, 2004 .

Bias Robust Estimation of Scale

R. Martin, R. Zamar, 1993 .

Min-Max Bias Robust Regression.

V. Yohai, R. Martin, R. Zamar, 1989 .

Optimal Bias Robust M—estimates of Regression

V. Yohai, R. Zamar, Marcela Svarc, 2002 .

Globally Robust Inference

J. Adrover, R. Zamar, J. R. Berrendero, 2002 .

OPTIMAL ROBUST M-ESTIMATES OF LOCATION

V. Yohai, R. Fraiman, R. Zamar, 2001 .

Global robustness of location and dispersion estimates

R. Zamar, J. R. Berrendero, 1999 .

Optimal locally robust M-estimates of regression

V. Yohai, R. Zamar, 1997 .

Efficiency-constrained bias-robust estimation of location

R. Martin, R. Zamar, 1993 .

High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale

V. Yohai, R. Zamar, 1988 .

Asymptotically Min—Max Bias Robust M-Estimates of Scale for Positive Random Variables

R. Martin, R. Zamar, 1989 .

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

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

A Minimax-Bias Property of the Least $\alpha$-Quantile Estimates

V. Yohai, R. Zamar, 1993 .

Propagation of outliers in multivariate data

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

Uniform asymptotics for robust location estimates when the scale is unknown

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

Robust estimation of error scale in nonparametric regression models

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

Robustness against unexpected dependence in the location model

Ruben H. Zamar, R. Zamar, 1990 .

Pooled scale estimators for scaling prior to cluster analysis

R. Zamar, Jakob Raymaekers, 2019 .

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

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

Bias Robust Estimation in Orthogonal Regression

Ruben H. Zamar, R. Zamar, 1992 .

Ensembles of Models and Metrics for Robust Ranking of Homologous Proteins

W. Welch, R. Zamar, J. Tomal, 2017, 1706.06971.

ROBUST NONPARAMETRIC INFERENCE FOR THE MEDIAN By Vı́ctor

R. Zamar, J. Yohai, 2001 .

Regression Phalanxes

Hongyang R. Zhang, W. Welch, R. Zamar, 2017, 1707.00727.

A Natural Robustification of the Ordinary Instrumental Variables Estimator

R. Zamar, Hernán Ortiz-Molina, G. C. Freue, 2013, Biometrics.

Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices

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

Min-Max Bias Robust M-Estimates of Scale.

R. Martin, R. Zamar, 1986 .

Discussion: Conditional growth charts

R. Zamar, M. Salibian-Barrera, 2007, math/0702641.

Population density and feeding duration of cabbage looper larvae on tomato plants alter the levels of plant volatile emissions.

R. Zamar, G. Gries, M. Isman, 2012, Pest management science.

Herbivore-induced plant volatiles allow detection of Trichoplusia ni (Lepidoptera: Noctuidae) infestation on greenhouse tomato plants.

R. Zamar, G. Gries, M. Isman, 2010, Pest management science.

Robust nonparametric inference for the median

V. Yohai, R. Zamar, 2004, math/0503665.

Robust ranking by ensembling of diverse models and assessment metrics

W. Welch, R. Zamar, J. Tomal, 2022, Journal of Statistical Computation and Simulation.

Ensembling classification models based on phalanxes of variables with applications in drug discovery

W. Welch, R. Zamar, J. Tomal, 2013, 1303.4805.

Discussion: Conditional growth charts

R. Zamar, M. Salibian-Barrera, 2007, math/0702641.

Least angle regression for model selection

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

Regularized K-means through hard-thresholding pdf

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

Pooled variable scaling for cluster analysis

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

Robust Clustering Using Tau-Scales

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

Nearest‐neighbors medians clustering

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

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

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

A robust linear grouping algorithm

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

An Iterative Non-parametric Clustering Algorithm Based on Local Shrinking

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

Split Modeling for High-Dimensional Logistic Regression

R. Zamar, S. V. Aelst, A. Christidis, 2021 .

Split Regularized Regression

Laks V. S. Lakshmanan, Ezequiel Smucler, Ruben Zamar, 2017, Technometrics.

Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series

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

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..

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..

Scalable robust covariance and correlation estimates for data mining

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

Exploiting Multiple Descriptor Sets in QSAR Studies

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

Dynamic variable selection in SNP genotype autocalling from APEX microarray data

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

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

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

Bandwidth choice for robust nonparametric scale function estimation

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

Comparing the shapes of regression functions

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

Globally robust inference for the location and simple linear regression models

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

Robust space transformations for distance-based operations

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

A Procedure for Robust Estimation and Inference in Linear Regression

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

Comments on: Data science, big data and statistics

S. Van Aelst, R. Zamar, 2019, TEST.

Comments on: Data science, big data and statistics

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

RNA biomarkers from proximal liquid biopsy for diagnosis of ovarian cancer

S. Van Aelst, R. Zamar, J. Vandesompele, 2022, Neoplasia.

Extracting relational data from HTML repositories

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

Bayesian likelihood robustness in linear models

R. Zamar, D. Peña, G. Yan, 2009 .

Robust and efficient estimation of the residual scale in linear regression

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

M-Estimates of regression when the scale is unknown and the error distribution is possibly asymmetric: A minimax result†

R. Zamar, Bing Li, 1996 .

On the explosion breakdown rate of the maximum bias function of some scale and location estimates

J. Romo, R. Zamar, J. R. Berrendero, 1995 .

Split regression modeling.

R. Zamar, A. Christidis, S. Aelst, 2018, 1812.05678.

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..

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

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

Using artificial censoring to improve extreme tail quantile estimates

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

A note on the uniform asymptotic normality of location M-estimates

R. Zamar, J. R. Berrendero, 2006 .

A Class of Locally and Globally Robust Regression Estimates

Nélida E. Ferretti, V. Yohai, R. Zamar, 1999 .

AD-A 245 698-' ~ ! ii 1111 lli i ~ lll BIAS ROBUST ESTIMATION OF SCALE by

R. Martin, R. Zamar, 2022 .

Finding and Exploring Rating Distributions (Technical Report)

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

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.

Special issue on variable selection and robust procedures

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

Robust graphical lasso based on multivariate Winsorization

Ginette Lafit, Ruben Zamar, Marcelo Ruiz, 2022, 2201.03659.

A Stepwise Approach for High-Dimensional Gaussian Graphical Models

Ginette Lafit, Ruben Zamar, Marcelo Ruiz, 2018, J. Data Sci. Stat. Vis..

Min–max asymptotic variance of M-estimates of location when scale is unknown

R. Zamar, Bing Li, 1991 .

BIAS ROBUST ESTIMATION OF SCALE WHERE LOCATION IS UNKNOWN

R. Zamar, Douglas, Martin, 2007 .

A Natural Robustification of the Ordinary Instrumental Variables Estimator

R. Zamar, G. C. Freue, Hernán Ortiz-Molina, 2013, Biometrics.

Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices

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

Parallel computation of high dimensional robust correlation and covariance matrices

R. Ng, R. Zamar, Alan S. Wagner, 2004, KDD.

Multi-Model Ensemble Optimization

R. Zamar, A. Christidis, S. Aelst, 2022 .

Fast robust variable selection

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

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

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

Multi-Model Subset Selection

R. Zamar, A. Christidis, S. Aelst, 2022, 2204.08100.

Diagnosing Multivariate Outliers Detected by Robust Estimators

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