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

  • Published:2021-12 Issue: Volume:189 Page:108295
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Pérez-Vieites Sara,Míguez Joaquín

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference40 articles.

1. Probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems;Pérez-Vieites;Phys. Rev. E,2017

2. Optimal Filtering;Anderson,1979

3. Novel approach to nonlinear and non-Gaussian Bayesian state estimation;Gordon;IEE Proc.-F,1993

4. On sequential Monte Carlo Sampling methods for Bayesian filtering;Doucet;Stat. Comput.,2000

5. A new method for the non linear transformation of means and covariances in filters and estimators;Julier;IEEE Trans. Autom. Control,2000

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1. Advanced methods for gene network identification and noise decomposition from single-cell data;Nature Communications;2024-06-08

2. An adaptive mixture view of particle filters;Foundations of Data Science;2024

3. Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. An overview of differentiable particle filters for data-adaptive sequential Bayesian inference;Foundations of Data Science;2023
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