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AN ESTIMATION of the INDUSTRIAL PRODUCTION DYNAMIC in the MERCOSUR COUNTRIES USING the MARKOV SWITCHING MODEL
ArticleAbstract: In this work the methodology applied is based on Bayesian statistical methods inspired by Markov chaPalabras claves:Algorithms Monte Carlo Markov Chains, Industrial Production in MERCOSUR, Markov Switching ModelsAutores:Aracelis Hernández, Gómez E., Luis Sánchez, Saba Rafael InfanteFuentes:scopusBrief Review of Functional Data Analysis: A Case Study on Regional Demographic and Economic Data
Conference ObjectAbstract: Functional data analysis (FDA) is an important recent field in statistics that enables us to analyzePalabras claves:CLÚSTER ANALYSIS, Demographic data, functional data analysis, Principal Component AnalysisAutores:Adrián Padilla-Segarra, Isidro Rafael Amaro, Mabel González-Villacorte, Saba Rafael InfanteFuentes:googlescopusAnalysis of Chaos and Predicting the Price of Crude Oil in Ecuador Using Deep Learning Models
Conference ObjectAbstract: This paper studied deterministic chaotic behaviour and prediction of WTI crude oil daily price timePalabras claves:Chaotic time series, Crude oil, Neural networks, Time series pbkp_redictionAutores:Génesis Carillo, María J. Ayala, Naomi Cedeño, Saba Rafael Infante, Sebastián LalvayFuentes:scopusAn Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
Conference ObjectAbstract: Even though there already exists a wide variety of epidemiological models, it’s worthwhile to applyPalabras claves:covid-19, functional data analysis, Functional principal component analysis, Latin AmericaAutores:Diana Chaglla, Isidro Rafael Amaro, Saba Rafael InfanteFuentes:scopusEstimation of stochastic volatility models using optimized filtering algorithms
ArticleAbstract: In this paper, we describe and implement two recursive filtering algorithms, the optimized particlePalabras claves:Optimized particle filter, Stochastic volatility models, Viterbi algorithmAutores:Aracelis Hernández, Luis Sánchez, Luna C., Saba Rafael InfanteFuentes:scopusEstimation of the State Space Models: An Application in Macroeconomic Series of Ecuador
Conference ObjectAbstract: This paper develops a framework for the analysis of state-space models combined with Kalman and smooPalabras claves:ARIMA model, Dynamic system, Gross domestic product, Kalman filter, State space modelAutores:Henry Bautista Vega, Isidro Rafael Amaro, Saba Rafael InfanteFuentes:scopusUnscented Kalman Filter and Gauss-Hermite Kalman Filter for Range-Bearing Target Tracking
Conference ObjectAbstract: Radar systems are used for estimating the position and velocity of aircraft and ships from range andPalabras claves:Gauss-Hermite Kalman filter, Target tracking, Unscented kalman filterAutores:Aracelis Hernández, Gabriel Barragán, Saba Rafael InfanteFuentes:scopusSequential Monte Carlo Filters with Parameters Learning for Commodity Pricing Models
ArticleAbstract: In this article, an estimation methodology based on the sequential Monte Carlo algorithm is proposedPalabras claves:Commodities Pricess, Heston Model, Parameter Learning Algorithm, Schwartz Single-Factor Model, Stochastic ModelsAutores:Aracelis Hernández, Luis Sánchez, Marcano J., Saba Rafael InfanteFuentes:googlescopusPreliminary study on safety conditions in health workers exposed to antineoplastic drugs
ArticleAbstract: A study was done to establish work practices and preventive measures for nurses handling antineoplasPalabras claves:antineoplastic drugs, occupational exposure, Occupational risksAutores:Aracelis Hernández, Medina E., Rojas Martini M., Saba Rafael InfanteFuentes:googlescopus