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Approximations 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: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: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: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:googlescopusPolynomial Chaos based on the parallelized ensemble Kalman filter to estimate precipitation states
ArticleAbstract: This article develops a methodology combining methods of numerical analysis and stochastic differentPalabras claves:Numerical Methods, Parallelized ensemble Kalman filter, Polynomial chaos, Stochastic differential equationsAutores:Griffin V., Luis Sánchez, Marcano J., Saba Rafael InfanteFuentes:googlescopus