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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: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:googlescopusStochastic models to estimate population dynamics
ArticleAbstract: The growth dynamics that a population follows is mainly due to births, deaths or migrations, each ofPalabras claves:Markov Chain Monte Carlo, Particle markov chain monte carlo, Secuential monte carlo, Stochastic differential equationsAutores:Aracelis Hernández, Luis Sánchez, Saba Rafael InfanteFuentes:scopus