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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:scopusAnalysis 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:scopusApproximations of the solutions of a stochastic differential equation using dirichlet process mixtures and gaussian mixtures
ArticleAbstract: Stochastic differential equations arise in a variety of contexts. There are many techniques for apprPalabras claves:Gaussian mixtures filter, Gaussian particle filter, Nonparametric particle filterAutores:Aracelis Hernández, Luis Sánchez, Luna C., Saba Rafael InfanteFuentes:scopusEstimation of Ordinary Differential Equations Solutions with Gaussian Processes and Polynomial Chaos Expansion
Conference ObjectAbstract: Derivative modeling is a wide-used technique in the estimation of solutions of systems of differentiPalabras claves:gaussian processes, Ordinary differential equation models, Polynomial chaos expansionAutores:Naomi Cedeño, 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:scopusFunctional ANOVA for Modelling Temperature Profiles in Ecuador
Conference ObjectAbstract: The experiments obtained from global and regional climate models have recently become popular and arPalabras claves:Anova, Climate models, functional data, Markov Chain Monte CarloAutores:Génesis Carrillo, Isidro Rafael Amaro, Julio Armas, Saba Rafael InfanteFuentes:scopusFunctional Data Analysis: A Meteorological Study Case in North of Ecuador
Conference ObjectAbstract: The present work uses functional data analysis (FDA) and functional principal component analysis (FPPalabras claves:functional data analysis, Functional principal component analysis, Meteorological FeaturesAutores:Isidro Rafael Amaro, Jonathan Portilla, Julio Armas, Saba Rafael InfanteFuentes:scopusEnsemble Kalman Filter and Extended Kalman Filter for State-Parameter Dual Estimation in Mixed Effects Models Defined by a Stochastic Differential Equation
Conference ObjectAbstract: The biological processes that occur in the real world have complex dynamics. Mathematical models thaPalabras claves:Dual ensemble Kalman filter, Dual extended Kalman filter, Mixed effects models, Stochastic differential equationAutores:Jose Soto, Saba Rafael InfanteFuentes:scopusKriging Kalman combined filter to estimate and predict the evolution of climatic states in some weather stations in Ecuador
ArticleAbstract: This article proposes a methodology that involves the Universal Kriging filter (UKF) and the KalmanPalabras claves:Kriging-Kalman filter, Spatial statistics, State-space modelsAutores:Aracelis Hernández, Inti Becerra, Rafael Amaro, Saba Rafael InfanteFuentes:scopus