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A nonparametric bootstrap method for spatial data
ArticleAbstract: The aim is to provide a nonparametric bootstrap method for spatial data, which can be either stationPalabras claves:Bandwidth matrix, Kernel estimation, Resampling method, VariogramAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusBootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency
ArticleAbstract: An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through LocalPalabras claves:Anomaly detection, Bootstrap, energy efficiency, LOCIAutores:Miguel Flores, Naya S., Sergio Castillo-Páez, Tarrío-Saavedra J., Tobar A., Zaragoza S.Fuentes:scopusA Nonparametric Bootstrap Method for Heteroscedastic Functional Data
ReviewAbstract: The objective is to provide a nonparametric bootstrap method for functional data that consists of inPalabras claves:functional data analysis, Local linear estimation, Resampling methods, VariogramAutores:Fernández-Casal R., Miguel Flores, Sergio Castillo-PáezFuentes:scopusNonparametric Conditional Risk Mapping Under Heteroscedasticity
ArticleAbstract: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatisticaPalabras claves:bias correction, Bootstrap, Conditional simulation, Local linear estimationAutores:Fernández-Casal R., Francisco-Fernández M., Sergio Castillo-PáezFuentes:scopusAssociation of Sociodemographic Factors with the Evolution of COVID 19 Infections: Ecuadorian Case Study
Conference ObjectAbstract: This study addresses the relationship between different levels of COVID 19 infection in the provincePalabras claves:covid-19, Fixed effects models, Sociodemographic variablesAutores:Livino M. Armijos Toro, Paúl Medina-Vásquez, Sergio Castillo-PáezFuentes:scopusAutomatic Detection of Fake News in Spanish: Ecuadorian Political Satire
ArticleAbstract: The circulation of fake news on internet, especially those of political satire through social media,Palabras claves:Fact-checking, Machine Learning, Natural Language processing, Supervised classificationAutores:Miguel Flores, Nicolás Mafla, Roberto Omar Andrade Paredes, Sergio Castillo-PáezFuentes:scopusNonparametric Geostatistical Prediction of Daily PM2.5 Concentrations Based on Satellite Measurements of Aerosol Optical Depth
Conference ObjectAbstract: The prediction of particulate matter (PM<inf>2.5</inf> ) has been a widely studied topic, and most oPalabras claves:Aerosol optical depth, KRIGING, Local linear estimation, PM 2.5, PM2.5Autores:Paul Medina Vazquez, Sergio Castillo-Páez, Vicente García-ManceroFuentes:scopusNonparametric bootstrap approach for unconditional risk mapping under heteroscedasticity
ArticleAbstract: The current work provides a nonparametric resampling procedure for approximating the (unconditional)Palabras claves:Heteroscedasticity, Local linear regression, Resampling methodAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusNonparametric estimation of the small-scale variability of heteroscedastic spatial processes
ArticleAbstract: The current study aims to provide nonparametric estimators of the conditional variance and the depenPalabras claves:bias correction, Heteroscedasticity, Local linear estimation, VariogramAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusNonparametric geostatistical risk mapping
ArticleAbstract: In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilPalabras claves:Bias-corrected variogram estimation, Bootstrap, KRIGING, Local linear regression, Nonparametric estimationAutores:Fernández-Casal R., Francisco-Fernández M., Sergio Castillo-PáezFuentes:googlescopus