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

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2018-11, Vol.24 (4A), p.3039-3086

2018

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Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment

IEEE transactions on signal processing, 2017-04, Vol.65 (7), p.1781-1794

2017

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A distributed particle filter for nonlinear tracking in wireless sensor networks

Signal processing, 2014-05, Vol.98, p.121-134

2014

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A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models

Statistics and computing, 2015-03, Vol.25 (2), p.407-425

2015

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

Signal processing, 2021-12, Vol.189, p.108295, Article 108295

2021

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Analysis of parallelizable resampling algorithms for particle filtering

Signal processing, 2007-12, Vol.87 (12), p.3155-3174

Míguez, Joaquín

2007

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Maximum likelihood inference for a class of discrete-time Markov switching time series models with multiple delays

EURASIP journal on advances in signal processing, 2024-07, Vol.2024 (1), p.74-29, Article 74

2024

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A robust scheme for distributed particle filtering in wireless sensors networks

Signal processing, 2017-02, Vol.131, p.190-201

2017

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Uniform convergence over time of a nested particle filtering scheme for recursive parameter estimation in state-space Markov models

Advances in applied probability, 2017-12, Vol.49 (4), p.1170-1200

2017

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Covariance determination for improving uncertainty realism in orbit determination and propagation

Advances in space research, 2023-10, Vol.72 (7), p.2759-2777

2023

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Generalized rejection sampling schemes and applications in signal processing

Signal processing, 2010-11, Vol.90 (11), p.2981-2995

2010

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A Likely Magnetic Activity Cycle for the Exoplanet Host M Dwarf GJ 3512

The Astronomical journal, 2020-12, Vol.160 (6), p.273

2020

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Particle-kernel estimation of the filter density in state-space models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2014-11, Vol.20 (4), p.1879-1929

2014

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Catalog-Based Atmosphere Uncertainty Quantification

The Journal of the astronautical sciences, 2023-09, Vol.70 (5), Article 42

2023

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Stability analysis and robust control of heart beat rate during treadmill exercise

Automatica (Oxford), 2016-01, Vol.63, p.311-320

2016

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

Signal processing, 2018-01, Vol.142, p.281-291

2018

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A proof of uniform convergence over time for a distributed particle filter

Signal processing, 2016-05, Vol.122, p.152-163

2016

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A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers

IEEE transactions on signal processing, 2012-09, Vol.60 (9), p.4611-4627

2012

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A generalization of the adaptive rejection sampling algorithm

Statistics and computing, 2011-10, Vol.21 (4), p.633-647

2011

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Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem

Physical review. X, 2018-08, Vol.8 (3), p.031038, Article 031038

2018

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A Probabilistic Incremental Proximal Gradient Method

IEEE signal processing letters, 2019-08, Vol.26 (8), p.1257-1261

2019

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User Activity Tracking in DS-CDMA Systems

IEEE transactions on vehicular technology, 2013-09, Vol.62 (7), p.3188-3203

2013

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A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions

Computational statistics & data analysis, 2016-03, Vol.95, p.57-74

2016

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Analysis of a sequential Monte Carlo method for optimization in dynamical systems

Signal processing, 2010-05, Vol.90 (5), p.1609-1622

MIGUEZ, Joaquín

2010

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Dictionary filtering: a probabilistic approach to online matrix factorisation

Signal, image and video processing, 2019-06, Vol.13 (4), p.737-744

2019

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

Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment

A distributed particle filter for nonlinear tracking in wireless sensor networks

A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models

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

Analysis of parallelizable resampling algorithms for particle filtering

Maximum likelihood inference for a class of discrete-time Markov switching time series models with multiple delays

A robust scheme for distributed particle filtering in wireless sensors networks

Uniform convergence over time of a nested particle filtering scheme for recursive parameter estimation in state-space Markov models

Covariance determination for improving uncertainty realism in orbit determination and propagation

Generalized rejection sampling schemes and applications in signal processing

A Likely Magnetic Activity Cycle for the Exoplanet Host M Dwarf GJ 3512

Particle-kernel estimation of the filter density in state-space models

Catalog-Based Atmosphere Uncertainty Quantification

Stability analysis and robust control of heart beat rate during treadmill exercise

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

A proof of uniform convergence over time for a distributed particle filter

A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers

A generalization of the adaptive rejection sampling algorithm

Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem

A Probabilistic Incremental Proximal Gradient Method

User Activity Tracking in DS-CDMA Systems

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions

Analysis of a sequential Monte Carlo method for optimization in dynamical systems

Dictionary filtering: a probabilistic approach to online matrix factorisation

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