{"action":"closed","issue":{"url":"https://api.github.com/repos/davharris/rosalia/issues/12","labels_url":"https://api.github.com/repos/davharris/rosalia/issues/12/labels{/name}","comments_url":"https://api.github.com/repos/davharris/rosalia/issues/12/comments","events_url":"https://api.github.com/repos/davharris/rosalia/issues/12/events","html_url":"https://github.com/davharris/rosalia/issues/12","id":91917924,"number":12,"title":"Editor 9: prior distributions on alpha and beta","user":{"login":"davharris","id":843017,"avatar_url":"https://avatars.githubusercontent.com/u/843017?v=3","gravatar_id":"","url":"https://api.github.com/users/davharris","html_url":"https://github.com/davharris","followers_url":"https://api.github.com/users/davharris/followers","following_url":"https://api.github.com/users/davharris/following{/other_user}","gists_url":"https://api.github.com/users/davharris/gists{/gist_id}","starred_url":"https://api.github.com/users/davharris/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/davharris/subscriptions","organizations_url":"https://api.github.com/users/davharris/orgs","repos_url":"https://api.github.com/users/davharris/repos","events_url":"https://api.github.com/users/davharris/events{/privacy}","received_events_url":"https://api.github.com/users/davharris/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/davharris/rosalia/labels/analysis","name":"analysis","color":"009800"}],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-06-29T21:47:35Z","updated_at":"2015-07-23T18:44:07Z","closed_at":"2015-07-23T18:44:07Z","body":"Editor is concerned that my priors are too informative.\r\n\r\nOne possibility is to use Empirical Bayes, but I'm not sure how that would work with this optimizer.\r\n\r\nNeed to find a better reference for logistic priors, or use something else.  The Gelman paper mimics them with t-distributed priors, which isn't as on-point as it could be."}}