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2021

Pérez-Vieites, Sara; Míguez, Joaquín

Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models Artículo de revista

En: Signal Processing, vol. 189, pp. 108295, 2021, ISSN: 0165-1684.

Resumen | Enlaces | BibTeX | Etiquetas: Bayesian inference, Filtering, Kalman, Monte Carlo, Parameter estimation

2018

Martino, Luca; Elvira, Victor; Miguez, Joaquín; Artés-Rodríguez, Antonio; Djuric, Petar M

A Comparison Of Clipping Strategies For Importance Sampling Artículo en actas

En: 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018.

Enlaces | BibTeX | Etiquetas: Bayesian inference, Importance sampling, Monte Carlo methods, Parameter estimation, Variance Reduction methods

Crisan, Dan; Míguez, Joaquín

Nested particle filters for online parameter estimation in discrete-time state-space Markov models Artículo de revista

En: Bernoulli, vol. 24, no. 4A, pp. 3039 – 3086, 2018.

Enlaces | BibTeX | Etiquetas: error bounds, model inference, Monte Carlo, Parameter estimation, Particle filtering, recursive algorithms, State space models

Míguez, Joaquín; Mariño, Inés P.; Vázquez, Manuel A

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models Artículo de revista

En: Signal Processing, vol. 142, pp. 281-291, 2018, ISSN: 0165-1684.

Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models

Míguez, Joaquín; Mariño, Inés P.; Vázquez, Manuel A

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models Artículo de revista

En: Signal Processing, vol. 142, pp. 281-291, 2018, ISSN: 0165-1684.

Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models

2011

Tuia, D; Verrelst, J; Alonso, L; Perez-Cruz, Fernando; Camps-Valls, Gustavo

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation Artículo de revista

En: IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 4, pp. 804–808, 2011, ISSN: 1545-598X.

Resumen | Enlaces | BibTeX | Etiquetas: Biological system modeling, Biomedical imaging, Biophysical parameter estimation, chlorophyll content estimation, Estimation, fractional vegetation cover, geophysical image processing, hyperspectral compact high-resolution imaging spec, image resolution, leaf area index, model inversion, multioutput support vector regression method, nonparametric biophysical parameter estimation, Parameter estimation, regression, regression analysis, Remote sensing, remote sensing biophysical parameter estimation, remote sensing image, single-output support vector regression method, spectrometers, Support vector machines, support vector regression (SVR), Vegetation mapping