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

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

12 / 12 papers shown

Title
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models Benjamin Cox Victor Elvira 36 10 0 20 Jun 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models Wenhan Li Xiongjie Chen Wenwu Wang Victor Elvira Yunpeng Li 38 6 0 20 Feb 2023
Optimality in Noisy Importance Sampling F. Llorente Luca Martino Jesse Read D. Delgado 31 5 0 07 Jan 2022
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 14 153 0 25 Jul 2021
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 20 261 0 21 Jul 2021
Compressed Monte Carlo with application in particle filtering Luca Martino Victor Elvira 11 36 0 18 Jul 2021
Deep Importance Sampling based on Regression for Model Inversion and Emulation F. Llorente Luca Martino D. Delgado G. Camps-Valls 24 19 0 20 Oct 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 19 83 0 17 May 2020
Data-Driven Model Set Design for Model Averaged Particle Filter B. Liu 15 6 0 30 Sep 2019
Probabilistic Regressor Chains with Monte Carlo Methods Jesse Read Luca Martino BDL UQCV AI4CE LRM 24 11 0 18 Jul 2019
Particle Probability Hypothesis Density Filter based on Pairwise Markov Chains Jiangyi Liu Chunping Wang Wei Wang 9 8 0 28 Nov 2018
Effective Sample Size for Importance Sampling based on discrepancy measures Luca Martino Victor Elvira F. Louzada 18 177 0 10 Feb 2016