Group Importance Sampling for Particle Filtering and MCMC

Group Importance Sampling for Particle Filtering and MCMC

10 April 2017

G. Camps-Valls

Papers citing "Group Importance Sampling for Particle Filtering and MCMC"

12 / 12 papers shown

Title
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
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing Luca Martino Victor Elvira J. Lopez-Santiago Gustau Camps-Valls 18 4 0 18 Jul 2021
Compressed Monte Carlo with application in particle filtering Luca Martino Victor Elvira 24 36 0 18 Jul 2021
Advances in Importance Sampling Victor Elvira Luca Martino AI4TS 56 103 0 10 Feb 2021
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 F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 36 84 0 17 May 2020
Probabilistic Regressor Chains with Monte Carlo Methods Jesse Read Luca Martino BDL UQCV AI4CE LRM 35 11 0 18 Jul 2019
Robust Covariance Adaptation in Adaptive Importance Sampling Yousef El-Laham Victor Elvira M. Bugallo 27 17 0 31 May 2018
Improving the efficiency and robustness of nested sampling using posterior repartitioning Xi Chen Michael P. Hobson Saptarshi Das P. Gelderblom 37 9 0 16 Mar 2018
Metropolis Sampling Luca Martino Victor Elvira 31 25 0 15 Apr 2017
High-dimensional Filtering using Nested Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 40 22 0 29 Dec 2016
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