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Publications of R Orellana (past Departamento de Electronica UTFSM member)   Download bibtex file Order by:   Type | Year
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R Carvajal, R Orellana, D. Katselis, P Escarate and J.C Agüero. A data augmentation approach for a class of statistical inference problems. In Plos One, Pages 1-24, 2018.
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R Orellana, P Escarate, M Curé, A Christen, R Carvajal and J.C Agüero. A method to deconvolve stellar rotational velocities III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures. In Astronomy & Astrophysics, Vol. 623(A138):1-11, 2019.
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M Coronel, R Orellana, L Mora, Ruben Rojas and J.C Agüero. A Sliding Mode Control Strategy for Cascade Systems. In IEEE Latin America Transactions, Vol. 17(09):1410-1417, September 2019. URL
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R Orellana, R Carvajal, P Escarate and J.C Agüero. On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models. In Sensors, Vol. 21(11):3837-, June 2021. URL
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R Orellana, G. Bittner, R Carvajal and J.C Agüero. Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution. In Automatica, Vol. 135:109937-, January 2022. URL
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A.L. Cedeño, R Orellana, R Carvajal, B.I. Godoy and J.C Agüero. Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models. In IEEE Access, Vol. 11:24615-24630, 2023. URL
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R Orellana, R Carvajal and J.C Agüero. Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures. In 18th IFAC Symposium on System Identification SYSID 2018, IFAC-PapersOnLine, Vol. 51(15):706-711, Stockholm, Sweden, 9 July - 11 January 2018. URL
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A.L. Cedeño, R Orellana, R Carvajal and J.C Agüero. EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models. In 21st IFAC World Congress Berlin, Germany, 11–17 July 2020, IFAC-PapersOnLine, Vol. 53(2):863-868, 2020. URL
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R Orellana, M Coronel, R Carvajal, R.A. Delgado, P Escarate and J.C Agüero. On the Uncertainty Modelling for Linear Continuous-Time Systems Utilising Sampled Data and Gaussian Mixture Models. In 19th IFAC Symposium on System Identification SYSID 2021, IFAC-PapersOnLine, Vol. 54(7):589-594, 2021. URL
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R Orellana, R Carvajal, J.C Agüero and G.C. Goodwin. Model Error Modelling using a Stochastic Embedding approach with Gaussian Mixture Models for FIR systems. In 21st IFAC World Congress Berlin, Germany, 11–17 July 2020, IFAC-PapersOnLine, Vol. 53(2):845-850, 2020. URL
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R Orellana, R Carvajal and J.C Agüero. Empirical Bayes estimation utilizing finite Gaussian Mixture Models. In 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), IEEE, Valparaiso, Chile, 13-27 November 2019. URL
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G. Bittner, R Orellana, R Carvajal and J.C. Aguero. Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution. In 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), IEEE, Valparaiso, Chile, 13-27 November 2019. URL
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G. Bittner, R Orellana, R Carvajal and J.C Agüero. Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution. In 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), IEEE, Valparaiso, Chile, 13-27 November 2019. URL
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Last modified: Fri March 12 2021 18:39:37