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Proceedings of the IEEE Conference on Decision and Control(3)
IFAC Proceedings Volumes (IFAC-PapersOnline)(2)
2016 Australian Control Conference, AuCC 2016(1)
2016 IEEE Conference on Control Applications, CCA 2016(1)
2019 12th Asian Control Conference, ASCC 2019(1)
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Probabilidades y matemática aplicada(5)
Métodos informáticos especiales(4)
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Tecnología (Ciencias aplicadas)(2)
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Optimización matemática(8)
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Origen
scopus(13)
An algorithm for estimating time-varying commodity price models
Conference ObjectAbstract: Given the current financial crisis, there is renewed interest in modelling how the price of commoditPalabras claves:Autores:Godoy B.I., Goodwin G.C., Juan C. Agüero, Rojas A.J.Fuentes:scopusAn optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion
Conference ObjectAbstract: In this paper, we consider an optimization approach for model selection using Akaike's Information CPalabras claves:Autores:Carvajal R., Juan C. Agüero, Urrutia G.Fuentes:scopusA 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood
Conference ObjectAbstract: Single particle tracking (SPT) is a powerful class of methods for studying the dynamics of biomolecuPalabras claves:Autores:Andersson S.B., Godoy B.I., Juan C. Agüero, Lin Y.Fuentes:scopusA data augmentation approach for a class of statistical inference problems
ArticleAbstract: We present an algorithm for a class of statistical inference problems. The main idea is to reformulaPalabras claves:Autores:Carvajal R., Escarate P., Juan C. Agüero, Katselis D., Orellana R.Fuentes:scopusA novel approach to model error modelling using the expectation- maximization algorithm
Conference ObjectAbstract: In this paper we develop a novel approach to model error modelling. There are natural links to otherPalabras claves:EM algorithm, model error modelling, system identificationAutores:Carvajal R., Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusA rank-constrained optimization approach: Application to factor analysis
Conference ObjectAbstract: In this paper, we present a general method for rank-constrained optimization. We use an iterative coPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusConnections between incremental and continuous-time EM algorithm for state space identification
Conference ObjectAbstract: The EM algorithm has been successfully applied to obtain maximum likelihood estimates for state-spacPalabras claves:EM algorithm, Incremental models, Maximum likelihood, Sampled data, State-space identificationAutores:Alfaro J.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusApproximate em algorithms for parameter and state estimation in nonlinear stochastic models
Conference ObjectAbstract: Due to the availability of rapidly improving computer speeds, industry is increasingly using nonlinePalabras claves:Autores:Goodwin G.C., Juan C. AgüeroFuentes:scopusEmpirical Bayes estimation utilizing finite Gaussian Mixture Models
Conference ObjectAbstract: In this paper we develop an identification algorithm to obtain an estimation of the prior distributiPalabras claves:Bayesian inference, Empirical Bayes, ExpectationMaximization, Gaussian Mixture, Prior distributionAutores:Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopusModel Error Modeling and Stochastic Embedding
Conference ObjectAbstract: To estimate a model of useful complexity for control design, at the same time as having a good insigPalabras claves:Empirical Bayes, Error quantification, Model errorsAutores:Chen T., Goodwin G.C., Juan C. Agüero, Ljung L.Fuentes:scopus