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Practical Bayes Part II

m-clark.github.io · published 28 February 2021

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Host
http://github.com/m-clark/m-clark.github.io/issues
github.com
https://mc-stan.org/loo/reference/loo-glossary.html
mc-stan.org
https://statmodeling.stat.columbia.edu/2019/08/10/
statmodeling.stat.columbia.edu
https://github.com/stan-dev/stan/wiki/Prior-Choice-Recommendations
github.com
https://avehtari.github.io/bayes_R2/bayes_R2.html
avehtari.github.io
http://www.stat.columbia.edu/~gelman/research/unpublished/bayes_R2_v3.pdf
stat.columbia.edu
https://mc-stan.org/loo/articles/loo2-weights.html
mc-stan.org
https://avehtari.github.io/modelselection/CV-FAQ.html
avehtari.github.io
https://discourse.mc-stan.org/t/understanding-looic/13409/6
discourse.mc-stan.org
https://discourse.mc-stan.org/t/can-waic-looic-be-used-to-compare-models-with-different-likelihoods/7380
discourse.mc-stan.org
https://discourse.mc-stan.org/t/a-quick-note-what-i-infer-from-p-loo-and-pareto-k-values/3446
discourse.mc-stan.org
https://discourse.mc-stan.org/t/recommendations-for-what-to-do-when-k-exceeds-0-5-in-the-loo-package/3417
discourse.mc-stan.org
https://discourse.mc-stan.org/t/improve-model-with-some-observations-pareto-0-7/17500
discourse.mc-stan.org
https://discourse.mc-stan.org/t/pareto-k-for-outlier-detection/12177/9
discourse.mc-stan.org
https://discourse.mc-stan.org/t/good-pp-check-and-r-square-but-large-pareto-k-values/17678
discourse.mc-stan.org
https://arxiv.org/abs/1507.02646/
arxiv.org
http://link.springer.com/article/10.1007%2Fs11222-016-9696-4
link.springer.com
https://arxiv.org/abs/1507.04544
arxiv.org
https://projecteuclid.org/euclid.ba/1516093227
projecteuclid.org
https://mc-stan.org/projpred/articles/quickstart.html
mc-stan.org
https://rawgit.com/avehtari/modelselection_tutorial/master/roaches.html
rawgit.com
https://mc-stan.org/docs/2_26/stan-users-guide/problematic-posteriors-chapter.html
mc-stan.org
https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssa.12378
rss.onlinelibrary.wiley.com
https://arxiv.org/abs/1709.01449
arxiv.org
https://github.com/jgabry/bayes-vis-paper
github.com
http://mc-stan.org/cmdstanr/articles/cmdstanr.html
mc-stan.org
https://jrnold.github.io/bayesian_notes/
jrnold.github.io
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