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Parallelization for Markov chain Monte Carlo with heterogeneous runtimes: a case-study on ODE-based models

Andrew Gelman · published 20 March 2023

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https://bayescomp2023.com/home

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https://bayescomp2023.com/abstracts

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https://charlesm93.github.io/files/Bayescomp_nested_rhat.pdf

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https://arxiv.org/abs/2110.13017

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https://charlesm93.github.io/files/Bayescomp_ode_chains.pdf

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http://arxiv.org/abs/2011.01808

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https://projecteuclid.org/journals/bayesian-analysis/volume-13/issue-3/Using-Stacking-to-Average-Bayesian-Predictive-Distributions-with-Discussion/10.1214/17-BA1091.full

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Elsewhere on statmodeling.stat.columbia.edu (3)

What Nested R-hat teaches us about the classical R-hat Read at the source ↗

statmodeling.stat.columbia.edu

https://statmodeling.stat.columbia.edu/wp-content/uploads/2023/03/run_times.png

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https://statmodeling.stat.columbia.edu/wp-content/uploads/2023/03/racing-chains.png

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