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Publications by Ruben H. Zamar

2016

Leung A, Zhang H, Zamar R. Robust regression estimation and inference in the presence of cellwise and casewise contamination. Computational Statistics & Data Analysis. Elsevier; 2016;.

2015

Agostinelli C, Leung A, Yohai VJ, Zamar RH. Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. TEST. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER; 2015;24:441-461.
Agostinelli C, Leung A, Yohai VJ, Zamar RH. Rejoinder on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. TEST. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER; 2015;24:484-488.
Tomal JH, Welch WJ, Zamar RH. ENSEMBLING CLASSIFICATION MODELS BASED ON PHALANXES OF VARIABLES WITH APPLICATIONS IN DRUG DISCOVERY. ANNALS OF APPLIED STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2015;9:69-93.

2014

Zhang H, Zamar RH. Least angle regression for model selection. Wiley Interdisciplinary Reviews: Computational Statistics. Wiley Online Library; 2014;6:116–123.

2013

Freue GVCohen, Ortiz-Molina H, Zamar RH. A Natural Robustification of the Ordinary Instrumental Variables Estimator. BIOMETRICS. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL; 2013;69:641-650.
Van Aelst S, Willems G, Zamar RH. Robust and efficient estimation of the residual scale in linear regression. JOURNAL OF MULTIVARIATE ANALYSIS. 525 B STREET, STE 1900, SAN DIEGO, CA 92101-4495 USA: ELSEVIER INC; 2013;116:278-296.
Hennig C, Liao TF. How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C (Applied Statistics). Wiley Online Library; 2013;62:309–369.

2012

Boente G, Ruiz M, Zamar RH. Bandwidth choice for robust nonparametric scale function estimation. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2012;56:1594-1608.
Kondo Y, Salibian-Barrera M, Zamar R. A robust and sparse K-means clustering algorithm. arXiv preprint arXiv:1201.6082. 2012;.
Pena D, Viladomat J, Zamar R. Nearest-neighbors medians clustering. Statistical Analysis and Data Mining [Internet]. Wiley Subscription Services, Inc., A Wiley Company; 2012;5:349–362. http://dx.doi.org/10.1002/sam.11149
Danilov M, Yohai VJ, Zamar RH. Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2012;107:1178-1186.

2010

Yan G, Welch WJ, Zamar RH. Model-based linear clustering. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE. COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA: WILEY-BLACKWELL; 2010;38:716-737.
Van Aelst S, Welsch R, Zamar RH. Special issue on variable selection and robust procedures. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2010;54:2879-2882.
Khan JA, Van Aelst S, Zamar RH. Fast robust estimation of prediction error based on resampling. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2010;54:3121-3130.
Boente G, Ruiz M, Zamar RH. On a robust local estimator for the scale function in heteroscedastic nonparametric regression. STATISTICS & PROBABILITY LETTERS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2010;80:1185-1195.
Miresmailli S, Badulescu D, Mahdaviani M, Zamar RH, Isman MB. Integrating plant chemical ecology, sensors and artificial intelligence for accurate pest monitoring. Tomatoes: Agricultural Procedures, Pathogen Interactions and Health Effects. 2010;:129–146.
Chang F, Qiu W, Zamar RH, Lazarus R, Wang X. clues: An R Package for Nonparametric Clustering Based on Local Shrinking. JOURNAL OF STATISTICAL SOFTWARE. UCLA DEPT STATISTICS, 8130 MATH SCIENCES BLDG, BOX 951554, LOS ANGELES, CA 90095-1554 USA: JOURNAL STATISTICAL SOFTWARE; 2010;33:1-16.
Miresmailli S, Gries R, Gries G, Zamar RH, Isman MB. Herbivore-induced plant volatiles allow detection of Trichoplusia ni (Lepidoptera: Noctuidae) infestation on greenhouse tomato plants. Pest Manag. Sci. 2010;66:916–924.

2009

García-Escudero LAngel, Gordaliza A, San Martin R, Van Aelst S, Zamar R. Robust linear clustering. Journal of the Royal Statistical Society: Series B (Statistical Methodology). Wiley Online Library; 2009;71:301–318.
Pena D, Zamar R, Yan G. Bayesian likelihood robustness in linear models. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2009;139:2196-2207.
Willems G, Joe H, Zamar R. Diagnosing Multivariate Outliers Detected by Robust Estimators. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2009;18:73-91.
Alqallaf F, Van Aelst S, Yohai VJ, Zamar RH. PROPAGATION OF OUTLIERS IN MULTIVARIATE DATA. ANNALS OF STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2009;37:311-331.

2008

Ghement IRodica, Ruiz M, Zamar R. Robust estimation of error scale in nonparametric regression models. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2008;138:3200-3216.
Salibian-Barrera M, Willems G, Zamar R. The fast-tau estimator for regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2008;17:659-682.
Van Aelst S, Khan JA, Zamar RH. Fast robust variable selection. In: Brito P. COMPSTAT 2008: PROCEEDINGS IN COMPUTATIONAL STATISTICS. TIERGARTENSTR 17, D-69121 HEIDELBERG, GERMANY: Univ Porto, Fac Econ; PSE; FCT; FEUP; Banco Porutgal; PORTO; SPM; Caixa Geral Depositos; SPE; CLAD; ifcs; 2008. pp. 359-370.

2007

Freue GVCohen, Hollander Z, Shen E, Zamar RH, Balshaw R, Scherer A, et al. MDQC: a new quality assessment method for microarrays based on quality control reports. BIOINFORMATICS. GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS; 2007;23:3162-3169.
Khan JA, Van Aelst S, Zamar RH. Robust linear model selection based on least angle regression. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 1429 DUKE ST, ALEXANDRIA, VA 22314 USA: AMER STATISTICAL ASSOC; 2007;102:1289-1299.
Khan JA, Van Aelst S, Zamar RH. Building a robust linear model with forward selection and stepwise procedures. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2007;52:239-248.
Wang X, Qiu W, Zamar RH. CLUES: A non-parametric clustering method based on local shrinking. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2007;52:286-298.

2006

Podder M, Welch WJ, Zamar RH, Tebbutt SJ. Dynamic variable selection in SNP genotype autocalling from APEX microarray data. BMC BIOINFORMATICS. MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON W1T 4LB, ENGLAND: BIOMED CENTRAL LTD; 2006;7:521.
Salibian-Barrera M, Zamar RH. Discussion: Conditional growth charts. ANNALS OF STATISTICS. PO BOX 22718, BEACHWOOD, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2006;34:2113-2118.
Pison G, Van Aelst S, Zamar RH. A robust linear grouping algorithm. In: Rizzi A, Vichi M. COMPSTAT 2006: Proceedings in Computational Statistics. TIERGARTENSTR 17, D-69121 HEIDELBERG, GERMANY: PHYSICA-VERLAG GMBH & CO; 2006. pp. 43-53.
Chilson J, Ng R, Wagner A, Zamar R. Parallel computation of high-dimensional robust correlation and covariance matrices. Algorithmica. Springer; 2006;45:403–431.
Van Aelst S, Wang XSteven, Zamar RH, Zhu R. Linear grouping using orthogonal regression. Computational Statistics & Data Analysis. Elsevier; 2006;50:1287–1312.
Chilson J, Ng R, Wagner A, Zamar R. Parallel computation of high-dimensional robust correlation and covariance matrices. Algorithmica. Springer; 2006;45:403–431.
Berrendero JR, Zamar RH. A note on the uniform asymptotic normality of location M-estimates. Metrika. Springer; 2006;63:55–69.

2005

Regier M, Barroetavena MC, Zamer R. Data mining in end-of-life care research: a case study using a novel methodology. In JOURNAL OF PALLIATIVE CARE. CENTER BIOETHICS CLIN RES INST MONTREAL 110 PINE AVE W, MONTREAL, QUEBEC H2W 1R7, CANADA; 2005. pp. 215–215.

2004

Park J-P, Zamar RH. The Detection and Testing of Multiple Outliers in Linear Regression. Journal of the Korean Data and Information Science Society. Korean Data and Information Science Society; 2004;15:921–934.
Zhang RYuee. Extracting XML data from HTML repositories. The University of British Columbia; 2004.
Yohai VJ, Zamar RH. Robust nonparametric inference for the median. Annals of statistics. JSTOR; 2004;:1841–1857.
Salibian-Barrera M, Zamar RH. Uniform asymptotics for robust location estimates when the scale is unknown. Annals of statistics. JSTOR; 2004;:1434–1447.
Adrover J, Zamar RH. Bias robustness of three median-based regression estimates. Journal of statistical planning and inference. Elsevier; 2004;122:203–227.
Adrover J, Salibian-Barrera M, Zamar R. Globally robust inference for the location and simple linear regression models. Journal of statistical planning and inference. Elsevier; 2004;119:353–375.

2002

Svarc M, Yohai VJ, Zamar RH. Optimal Bias Robust M—estimates of Regression. In Statistical Data Analysis Based on the L1-Norm and Related Methods. Springer; 2002. pp. 191–200.
Salibian-Barrera M, Zamar RH. Bootstrapping robust estimates of regression. Annals of Statistics. JSTOR; 2002;:556–582.
Adrover J, Berrendero JRamon, Salibian-Barrera M, Zamar RH. Globally robust inference. Estadistica. 2002;54:162–163.
Maronna RA, Zamar RH. Robust multivariate estimates for high dimentional datasets. Working paper, University of La Plata and University of British Columbia; 2002.
Alqallaf FA, Konis KP, R Martin D, Zamar RH. Scalable robust covariance and correlation estimates for data mining. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM; 2002. pp. 14–23.

2001

Knorr EM, Ng RT, Zamar RH. Robust space transformations for distance-based operations. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining. ACM; 2001. pp. 126–135.

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