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Fast computation of robust subspace estimators
ArticleAbstract: Dimension reduction is often an important step in the analysis of high-dimensional data. PCA is a poPalabras claves:Deterministic algorithm, High-dimensional data, Least trimmed squares, M-scale, Principal Component AnalysisAutores:Holger Cevallos-Valdiviezo, Van Aelst S.Fuentes:googlescopusMeasuring the impact of the COVID-19 outbreak in Ecuador using preliminary estimates of excess mortality, March 17–October 22, 2020
ArticleAbstract: Objectives: Ecuador is among the worst-hit countries in the world by the coronavirus disease 2019 (CPalabras claves:covid-19, ECUADOR, Excess deaths, MortalityAutores:Allan Vergara-Montesdeoca, Gema Zambrano, Holger Cevallos-ValdiviezoFuentes:scopusPersonality Domains and their relationship with the Transformational Leadership Styles
ArticleAbstract: The impact of personality domains and work experience in the transformational leadership style, provPalabras claves:leadership, personality, Regressions, Transformational, Work experienceAutores:Carmen Padilla Lozano /, Carmen Padilla P., Danny Arevalo, Danny Xavier Arévalo-Avecillas, Holger Cevallos-Valdiviezo, Pino R.M.Fuentes:googlescopusRobust estimation of principal components: a literature review
Conference ObjectAbstract: In this work we do a short literature review on the most relevant methods for robust estimation of PPalabras claves:outlier detection, Outliers, Principal Component Analysis, Robust EstimationAutores:Ariana Rodríguez-Cristiansen, Holger Cevallos-Valdiviezo, Patricia Valdiviezo-ValenzuelaFuentes:scopusTree-based prediction on incomplete data using imputation or surrogate decisions
ArticleAbstract: The goal is to investigate the prediction performance of tree-based techniques when the available trPalabras claves:Conditional inference tree, Missing data, Multiple imputation, pbkp_rediction, Surrogate decisionAutores:Holger Cevallos-Valdiviezo, Van Aelst S.Fuentes:googlescopus