Scalable Metropolis-Hastings for Exact Bayesian Inference with Large
Datasets

Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets

28 January 2019

Alexandre Bouchard-Coté

George Deligiannidis

Papers citing "Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets"

6 / 6 papers shown

Title
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods Conor Rosato Harvinder Lehal Simon Maskell L. Devlin Malcolm Strens 19 0 0 15 May 2025
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 52 65 0 23 Jul 2020
Spectral Subsampling MCMC for Stationary Time Series R. Salomone M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran AI4TS 14 14 0 30 Oct 2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 24 37 0 23 May 2019
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 33 18 0 12 Sep 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016