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Rao-Blackwellized particle smoothers for conditionally linear Gaussian
  models

Rao-Blackwellized particle smoothers for conditionally linear Gaussian models

IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2015
23 May 2015
Fredrik Lindsten
P. Bunch
Simo Särkkä
Thomas B. Schon
S. Godsill
ArXiv (abs)PDFHTML

Papers citing "Rao-Blackwellized particle smoothers for conditionally linear Gaussian models"

6 / 6 papers shown
The two filter formula reconsidered: Smoothing in partially observed Gauss--Markov models without information parametrization
The two filter formula reconsidered: Smoothing in partially observed Gauss--Markov models without information parametrization
Filip Tronarp
91
1
0
28 Feb 2025
Variational latent discrete representation for time series modelling
Variational latent discrete representation for time series modelling
Max H. Cohen
M. Charbit
Sylvain Le Corff
385
1
0
27 Jun 2023
Double Bayesian Smoothing as Message Passing
Double Bayesian Smoothing as Message PassingIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Pasquale Di Viesti
G. Vitetta
Emilio Sirignano
96
2
0
25 Jul 2019
A New Smoothing Technique based on the Parallel Concatenation of
  Forward/Backward Bayesian Filters: Turbo Smoothing
A New Smoothing Technique based on the Parallel Concatenation of Forward/Backward Bayesian Filters: Turbo Smoothing
G. Vitetta
Pasquale Di Viesti
Emilio Sirignano
60
0
0
15 Feb 2019
Rao-Blackwellized Particle Smoothing as Message Passing
Rao-Blackwellized Particle Smoothing as Message Passing
G. Vitetta
Emilio Sirignano
Francesco Montorsi
97
0
0
22 May 2017
Marginalized Particle Filtering and Related Filtering Techniques as
  Message Passing
Marginalized Particle Filtering and Related Filtering Techniques as Message Passing
G. Vitetta
Emilio Sirignano
Francesco Montorsi
Matteo Sola
211
8
0
10 May 2016
1
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