Revisiting the Gelman-Rubin Diagnostic

21 December 2018

Papers citing "Revisiting the Gelman-Rubin Diagnostic"

10 / 10 papers shown

Title
$On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic$ On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic Théo Moins Julyan Arbel A. Dutfoy Stéphane Girard 27 12 0 13 May 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 35 11 0 04 Apr 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 29 3 0 10 Feb 2022
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 30 8 0 06 Dec 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 39 122 0 26 Oct 2021
Focusing on Difficult Directions for Learning HMC Trajectory Lengths Pavel Sountsov Matt Hoffman 31 10 0 22 Oct 2021
Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA Sona Hunanyan Håvard Rue M. Plummer M. Roos 17 2 0 24 Sep 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 22 17 0 30 Mar 2021
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 27 45 0 08 May 2020
Convergence diagnostics for Markov chain Monte Carlo Vivekananda Roy 41 217 0 26 Sep 2019