Optimal approximating Markov chains for Bayesian inference

13 August 2015

Papers citing "Optimal approximating Markov chains for Bayesian inference"

8 / 8 papers shown

Title
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 23 154 0 25 Jul 2021
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 57 65 0 23 Jul 2020
Minibatch Gibbs Sampling on Large Graphical Models Christopher De Sa Vincent Chen W. Wong 26 19 0 15 Jun 2018
Mini-batch Tempered MCMC Dangna Li W. Wong 29 5 0 31 Jul 2017
Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance Jordan Franks M. Vihola 33 17 0 29 Jun 2017
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets Florian Maire Nial Friel Pierre Alquier 33 14 0 26 Jun 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 40 159 0 21 Oct 2016
Perturbation theory for Markov chains via Wasserstein distance Daniel Rudolf Nikolaus Schweizer 40 107 0 13 Mar 2015