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A 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 Gaussian Sum Smoothing algorithm for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel Bayesian smoothing method for obtaining the smoothed probability dPalabras claves:Gaussian sum smoother, Hammerstein-Wiener systems, State Estimation, Two-filter formulaAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA Novel Bayesian Filtering Method for Systems with Quantized Output Data
Conference ObjectAbstract: In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariantPalabras claves:Gaussian sum approximation, Quantized data, State EstimationAutores:Albornoz R., Carvajal R., Juan C. AgüeroFuentes:scopusA Novel Filtering Method for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel filtering algorithm for Hammerstein-Wiener State-Space Systems. ThPalabras claves:Gaussian Quadrature, Gaussian sum filter, Hammerstein-Wiener systems, State EstimationAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA Sliding Mode Control Strategy for Cascade Systems
ArticleAbstract: In this paper we propose a sliding mode control strategy for cascade systems. Models of first and sePalabras claves:Cascade system, optimization, sliding mode controlAutores:Coronel M., Juan C. Agüero, Mora L., Orellana R., Ruben RojasFuentes: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 filtering approach for model selection
Conference ObjectAbstract: In this paper, we propose an iterative algorithm to perform model selection. This algorithm is a seqPalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. Agüero, Yuz J.I.Fuentes:scopusA map approach for ℓq-norm regularized sparse parameter estimation using the em algorithm
Conference ObjectAbstract: In this paper, Bayesian parameter estimation through the consideration of the Maximum A Posteriori (Palabras claves:convergence, maximum likelihood estimation, optimization, parameter estimation, Probability density function, Signal processing algorithmsAutores:Carvajal R., Godoy B.I., Juan C. Agüero, Katselis D.Fuentes:scopusA method to deconvolve stellar rotational velocities III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures
ArticleAbstract: Aims. The study of accurate methods to estimate the distribution of stellar rotational velocities isPalabras claves:Methods: analytical, methods: data analysis, methods: numerical, Methods: statistical, Stars: fundamental parameters, Stars: rotationAutores:Carvajal R., Christen A., Curé M., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusA model-based feedback control strategy for heap bioleaching processes
Conference ObjectAbstract: In this paper we propose a feedback control strategy to increase the copper recovery in a heap biolePalabras claves:Autores:Braslavsky J.H., Godoy B.I., Juan C. AgüeroFuentes:scopus