Markov Chain Importance Sampling -- a highly efficient estimator for MCMC

18 May 2018

Papers citing "Markov Chain Importance Sampling -- a highly efficient estimator for MCMC"

7 / 7 papers shown

Title
Proxy-informed Bayesian transfer learning with unknown sources Sabina J. Sloman Julien Martinelli Samuel Kaski 35 0 0 05 Nov 2024
Optimized Population Monte Carlo Victor Elvira Émilie Chouzenoux 24 23 0 14 Apr 2022
Compressed Monte Carlo with application in particle filtering Luca Martino Victor Elvira 11 36 0 18 Jul 2021
MCMC-driven importance samplers F. Llorente E. Curbelo Luca Martino Victor Elvira D. Delgado 27 11 0 06 May 2021
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
On a Metropolis-Hastings importance sampling estimator Daniel Rudolf Björn Sprungk 13 21 0 18 May 2018
Gradient Importance Sampling Ingmar Schuster 25 25 0 21 Jul 2015