{"action":"created","issue":{"url":"https://api.github.com/repos/scipy/scipy/issues/6739","repository_url":"https://api.github.com/repos/scipy/scipy","labels_url":"https://api.github.com/repos/scipy/scipy/issues/6739/labels{/name}","comments_url":"https://api.github.com/repos/scipy/scipy/issues/6739/comments","events_url":"https://api.github.com/repos/scipy/scipy/issues/6739/events","html_url":"https://github.com/scipy/scipy/pull/6739","id":186096862,"number":6739,"title":"added Normal inverse gamma distribution","user":{"login":"parulsethi","id":11822050,"avatar_url":"https://avatars.githubusercontent.com/u/11822050?v=3","gravatar_id":"","url":"https://api.github.com/users/parulsethi","html_url":"https://github.com/parulsethi","followers_url":"https://api.github.com/users/parulsethi/followers","following_url":"https://api.github.com/users/parulsethi/following{/other_user}","gists_url":"https://api.github.com/users/parulsethi/gists{/gist_id}","starred_url":"https://api.github.com/users/parulsethi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/parulsethi/subscriptions","organizations_url":"https://api.github.com/users/parulsethi/orgs","repos_url":"https://api.github.com/users/parulsethi/repos","events_url":"https://api.github.com/users/parulsethi/events{/privacy}","received_events_url":"https://api.github.com/users/parulsethi/received_events","type":"User","site_admin":false},"labels":[{"id":37340735,"url":"https://api.github.com/repos/scipy/scipy/labels/enhancement","name":"enhancement","color":"bfe5bf","default":true},{"id":81535364,"url":"https://api.github.com/repos/scipy/scipy/labels/needs-work","name":"needs-work","color":"fbca04","default":false},{"id":37340722,"url":"https://api.github.com/repos/scipy/scipy/labels/scipy.stats","name":"scipy.stats","color":"207de5","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2016-10-29T19:38:52Z","updated_at":"2016-11-19T10:51:41Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scipy/scipy/pulls/6739","html_url":"https://github.com/scipy/scipy/pull/6739","diff_url":"https://github.com/scipy/scipy/pull/6739.diff","patch_url":"https://github.com/scipy/scipy/pull/6739.patch"},"body":"This PR implements the Normal inverse gamma distribution which is a conjugate prior for Normal distribution with unknown mean and variance. I have added it under _multivariate.py as suggested by @josef-pkt in [#6528](https://github.com/scipy/scipy/issues/6528) with few basic methods. As it's a bivariate distribution i've addressed the unknown mean's variate as `x` and unknown variance's variate as `sig2` separately instead of using a 2D variate for now.\nPlease suggest any changes required for improving this class.\nI will write the documentation and unit tests as soon as the methods are finalised for this distribution.\n"},"comment":{"url":"https://api.github.com/repos/scipy/scipy/issues/comments/261707018","html_url":"https://github.com/scipy/scipy/pull/6739#issuecomment-261707018","issue_url":"https://api.github.com/repos/scipy/scipy/issues/6739","id":261707018,"user":{"login":"ev-br","id":2133832,"avatar_url":"https://avatars.githubusercontent.com/u/2133832?v=3","gravatar_id":"","url":"https://api.github.com/users/ev-br","html_url":"https://github.com/ev-br","followers_url":"https://api.github.com/users/ev-br/followers","following_url":"https://api.github.com/users/ev-br/following{/other_user}","gists_url":"https://api.github.com/users/ev-br/gists{/gist_id}","starred_url":"https://api.github.com/users/ev-br/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ev-br/subscriptions","organizations_url":"https://api.github.com/users/ev-br/orgs","repos_url":"https://api.github.com/users/ev-br/repos","events_url":"https://api.github.com/users/ev-br/events{/privacy}","received_events_url":"https://api.github.com/users/ev-br/received_events","type":"User","site_admin":false},"created_at":"2016-11-19T10:51:41Z","updated_at":"2016-11-19T10:51:41Z","body":"Oh, and,\r\n> I will write ... unit tests as soon as the methods are finalised for this distribution.\r\n\r\nPlease do write them!"}}
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