Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis

2 April 2024

Papers citing "Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis"

9 / 9 papers shown

Title
Modeling the Machine Learning Multiverse Samuel J. Bell Onno P. Kampman Jesse Dodge Neil D. Lawrence 68 18 0 13 Jun 2022
Boba: Authoring and Visualizing Multiverse Analyses Yang Liu Alex Kale Tim Althoff Jeffrey Heer 67 48 0 10 Jul 2020
Using reference models in variable selection Federico Pavone Juho Piironen Paul-Christian Bürkner Aki Vehtari 28 28 0 27 Apr 2020
$Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC$ Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC Aki Vehtari Andrew Gelman Daniel P. Simpson Bob Carpenter Paul-Christian Bürkner 54 940 0 19 Mar 2019
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 82 340 0 06 Apr 2017
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 124 4,060 0 16 Jul 2015
Comparison of Bayesian predictive methods for model selection Juho Piironen Aki Vehtari 70 279 0 30 Mar 2015
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 209 217 0 21 Jan 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 171 4,309 0 18 Nov 2011