{"height":"190","published":"2013-01-29 00:00:00","provider_name":"Hatena Blog","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhimaginary.hatenablog.com%2Fentry%2F20130129%2Fprior_as_model\" title=\"\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306e\u4e8b\u524d\u5206\u5e03 - himaginary\u2019s diary\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"type":"rich","categories":["\u7d71\u8a08","\u7d4c\u6e08"],"author_name":"himaginary","version":"1.0","blog_title":"himaginary\u2019s diary","title":"\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306e\u4e8b\u524d\u5206\u5e03","blog_url":"https://himaginary.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/himaginary/","description":"\u30ce\u30a2\u30d4\u30cb\u30aa\u30f3\u6c0f\u304c\u7d71\u8a08\u306b\u304a\u3051\u308b\u30d9\u30a4\u30b8\u30a2\u30f3\u3068\u983b\u5ea6\u4e3b\u7fa9\u306e\u5bfe\u7acb\u306b\u3064\u3044\u3066\u8ad6\u3058\u305f\u3068\u3053\u308d\u3001\u30d9\u30a4\u30ba\u7d71\u8a08\u5b66\u306e\u6a29\u5a01\u3067\u3042\u308b\u30a2\u30f3\u30c9\u30ea\u30e5\u30fc\u30fb\u30b2\u30eb\u30de\u30f3\u304c\u53cd\u5fdc\u3057\u305f\u3002\u4ee5\u4e0b\u306f\u305d\u3053\u304b\u3089\u306e\u629c\u7c8b\u3002 First, a Bayesian doesn\u2019t need to stick with his or her priors, any more than any scientist needs to stick with his or her model. It\u2019s fine\u2014indeed, recommended\u2014to abandon or alter a model that produces implications that d\u2026","provider_url":"https://hatena.blog","url":"https://himaginary.hatenablog.com/entry/20130129/prior_as_model"}