http://normaldeviate.wordpress.com/2013/07/13/lost-causes-in-statistics-ii-noninformative-priors/
Normal Deviate 07/13/2013
http://andrewgelman.com/2013/11/21/hidden-dangers-noninformative-priors/
Normal Deviate 11/21/2013
http://andrewgelman.com/2013/07/16/priors/
Normal Deviate 07/16/2013
https://statmodeling.stat.columbia.edu/2021/07/19/default-informative-priors-for-effect-sizes-where-do-they-come-from/
Normal Deviate 07/19/2021
http://andrewgelman.com/2018/05/04/zero-excluding-priors-probably-bad-idea-hierarchical-variance-parameters/
Normal Deviate 05/04/2018
http://feedproxy.google.com/~r/TheEndeavour/~3/9FpIaB7R2NQ/
http://andrewgelman.com/2014/05/06/priors-dont-believe/
Normal Deviate 05/06/2014
http://www.johndcook.com/blog/2013/11/21/convenient-priors/
http://www.win-vector.com/blog/2015/10/baking-priors/
Normal Deviate 10/13/2015
https://statmodeling.stat.columbia.edu/2022/02/28/priors-for-meta-analysis/
Normal Deviate 02/28/2022
http://andrewgelman.com/2013/02/15/wacky-priors-can-work-well/
Normal Deviate 02/15/2013
https://statmodeling.stat.columbia.edu/2020/03/20/my-best-thoughts-on-priors/
Normal Deviate 03/20/2020
http://normaldeviate.wordpress.com/2013/06/30/lost-causes-in-statistics-i-finite-additivity/
Normal Deviate 06/30/2013
https://normaldeviate.wordpress.com/2013/06/30/lost-causes-in-statistics-i-finite-additivity/
http://andrewgelman.com/2013/09/11/informative-g-priors-for-logistic-regression/
Normal Deviate 09/11/2013
http://andrewgelman.com/2016/07/01/29465/
Normal Deviate 07/01/2016
http://andrewgelman.com/2013/04/03/hierarchical-array-priors-for-anova-decompositions/
Normal Deviate 04/03/2013
http://andrewgelman.com/2015/06/28/interpreting-posterior-probabilities-in-the-context-of-weakly-informative-priors/
Normal Deviate 06/28/2015
https://statmodeling.stat.columbia.edu/2021/03/20/priors-for-counts-in-binomial-and-multinomial-models/
Normal Deviate 03/20/2021
https://statmodeling.stat.columbia.edu/2020/07/04/priors-on-effect-size-in-a-b-testing/
Normal Deviate 07/04/2020
https://statmodeling.stat.columbia.edu/2021/01/18/webinar-functional-uniform-priors-for-dose-response-models/
Normal Deviate 01/18/2021
https://statmodeling.stat.columbia.edu/2024/03/27/bayesian-inference-with-informative-priors-is-not-inherently-subjective/
Normal Deviate 03/27/2024
https://statmodeling.stat.columbia.edu/2020/04/28/reverse-engineering-priors-in-coronavirus-discourse/
Normal Deviate 04/28/2020
http://andrewgelman.com/2017/10/04/worry-rigged-priors/
Normal Deviate 10/04/2017
http://feedproxy.google.com/~r/RBloggers/~3/o4q0sgTJvYY/