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Cooperative Parallel Particle Filters for online model selection and
  applications to Urban Mobility

Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility

25 September 2016
Luca Martino
Jesse Read
Victor Elvira
F. Louzada
ArXivPDFHTML

Papers citing "Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility"

14 / 14 papers shown
Title
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space
  Models
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models
Benjamin Cox
Victor Elvira
46
10
0
20 Jun 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li
Xiongjie Chen
Wenwu Wang
Victor Elvira
Yunpeng Li
45
6
0
20 Feb 2023
Optimality in Noisy Importance Sampling
Optimality in Noisy Importance Sampling
F. Llorente
Luca Martino
Jesse Read
D. Delgado
45
5
0
07 Jan 2022
A Survey of Monte Carlo Methods for Parameter Estimation
A Survey of Monte Carlo Methods for Parameter Estimation
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
25
154
0
25 Jul 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known
  Dynamics
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Guy Revach
Nir Shlezinger
Xiaoyong Ni
Adrià López Escoriza
Ruud J. G. van Sloun
Yonina C. Eldar
31
266
0
21 Jul 2021
Compressed Monte Carlo with application in particle filtering
Compressed Monte Carlo with application in particle filtering
Luca Martino
Victor Elvira
24
36
0
18 Jul 2021
Deep Importance Sampling based on Regression for Model Inversion and
  Emulation
Deep Importance Sampling based on Regression for Model Inversion and Emulation
F. Llorente
Luca Martino
D. Delgado
G. Camps-Valls
42
19
0
20 Oct 2020
Marginal likelihood computation for model selection and hypothesis
  testing: an extensive review
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
F. Llorente
Luca Martino
D. Delgado
J. Lopez-Santiago
36
84
0
17 May 2020
Data-Driven Model Set Design for Model Averaged Particle Filter
Data-Driven Model Set Design for Model Averaged Particle Filter
B. Liu
28
6
0
30 Sep 2019
Probabilistic Regressor Chains with Monte Carlo Methods
Probabilistic Regressor Chains with Monte Carlo Methods
Jesse Read
Luca Martino
BDL
UQCV
AI4CE
LRM
35
11
0
18 Jul 2019
Particle Probability Hypothesis Density Filter based on Pairwise Markov
  Chains
Particle Probability Hypothesis Density Filter based on Pairwise Markov Chains
Jiangyi Liu
Chunping Wang
Wei Wang
14
8
0
28 Nov 2018
Group Importance Sampling for Particle Filtering and MCMC
Group Importance Sampling for Particle Filtering and MCMC
Luca Martino
Victor Elvira
G. Camps-Valls
85
66
0
10 Apr 2017
Effective Sample Size for Importance Sampling based on discrepancy
  measures
Effective Sample Size for Importance Sampling based on discrepancy measures
Luca Martino
Victor Elvira
F. Louzada
27
177
0
10 Feb 2016
Sequential estimation of intrinsic activity and synaptic input in single
  neurons by particle filtering with optimal importance density
Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density
Pau Closas
A. Guillamón
22
7
0
12 Nov 2015
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