Documentos de Juan C. Agüero | REDI

Regresar

Mostrando 10 resultados de: 11

Filtros aplicados

Palabras Claves: "Expectation-maximization"

Subtipo de publicación

Conference Object(4)

Publisher

IFAC-PapersOnLine(4)

2018 22nd International Conference on System Theory Control and Computing Icstcc 2018 Proceedings(1)

2018 22nd International Conference on System Theory, Control and Computing, ICSTCC 2018 - Proceedings(1)

2024 IEEE International Conference on Automation 26th Congress of the Chilean Association of Automatic Control Ica Acca 2024(1)

Área temáticas

Probabilidades y matemática aplicada(6)

Física aplicada(5)

Ciencias de la computación(3)

Métodos informáticos especiales(3)

Área de conocimiento

Optimización matemática(5)

Estadísticas(3)

Proceso estocástico(3)

Inferencia estadística(2)

Objetivos de Desarrollo Sostenible

ODS 17: Alianzas para lograr los objetivos(7)

ODS 10: Reducción de las desigualdades(5)

ODS 8: Trabajo decente y crecimiento económico(5)

ODS 9: Industria, innovación e infraestructura(4)

ODS 12: Producción y consumo responsables(2)

Año de Publicación

Origen

Palabras Claves

Maximum likelihood(10)

Gaussian Mixture(3)

Stochastic embedding(3)

Errors-in-Variables(2)

Constrained maximum likelihood estimation for state space sampled-data models

Conference Object

Abstract: The Expectation-Maximization algorithm is applied in this paper to estimate state-space sampled-data

Palabras claves:

Constraints, Expectation-maximization, linear matrix inequalities, Maximum likelihood, system identification

Avila F., Donaire A., Juan C. Agüero, Yuz J.I.

EM-based identification of continuous-time ARMA Models from irregularly sampled data

Abstract: In this paper we present a novel algorithm for identifying continuous-time autoregressive moving-ave

Palabras claves:

Continuous-time ARMA model, Expectation-maximization, Irregularly sampled data, Maximum likelihood

Chen F., Garnier H., Gilson M., Juan C. Agüero, Liu T., Tao Liu

EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models

Conference Object

Abstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposa

Palabras claves:

Errors-in-Variables, estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, optimization

Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.

Model error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems

Conference Object

Abstract: In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochastic

Palabras claves:

estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, Model errors, Stochastic embedding

Carvajal R., Goodwin G.C., Juan C. Agüero, Orellana R.

Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures⁎

Conference Object

Abstract: In this paper we develop a Maximum Likelihood estimation algorithm for the estimation of infinite mi

Palabras claves:

estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, optimization

Carvajal R., Juan C. Agüero, Orellana R.

Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution

Abstract: In this paper a Maximum Likelihood estimation algorithm for a linear dynamic system driven by an exo

Palabras claves:

Expectation-maximization, Gaussian mixture noise distribution, Maximum likelihood, Non-minimum-phase transfer function

Bittner G., Carvajal R., Juan C. Agüero, Orellana R.

Model Error Modeling for a Class of Multivariable Systems Utilizing Stochastic Embedding Approach with Gaussian Mixture Models

Abstract: Many real-world multivariable systems need to be modeled to capture the interconnected behavior of t

Palabras claves:

Expectation-maximization, Gaussian Mixture Model, Maximum likelihood, multivariable uncertainty modeling, Stochastic embedding

Carvajal R., Coronel M., Escarate P., Juan C. Agüero, Orellana R.

Channel Modeling Using Rayleigh and Rice Sum Approximation

Abstract: In this paper we develop an identification technique for the multipath wireless channel utilizing a

Palabras claves:

Channel modeling, Expectation-maximization, Maximum likelihood, sum distribution approximation

Carvajal R., Coronel M., Juan C. Agüero, Orellana R.

An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification

Abstract: This paper concerns the identification of continuous-time systems in state-space form that are subje

Palabras claves:

Continuous-time systems, event-based sampling, Expectation-maximization, system identification

Cedeno A.L., Coronel M., Juan C. Agüero, Rodrigo A. González, Rojas C.R.

Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models

Abstract: In this paper a Maximum likelihood estimation algorithm for Finite Impulse Response Errors-in-Variab

Palabras claves:

Errors-in-Variables, estimation, Expectation-maximization, Gaussian mixture distribution, Maximum likelihood

Carvajal R., Cedeno A.L., Godoy B.I., Juan C. Agüero, Orellana R.