tag:blogger.com,1999:blog-10448119.post1116189683874934519..comments2024-03-29T07:56:43.514-04:00Comments on Hogg's Research: utility and decisionsHogghttp://www.blogger.com/profile/18398397408280534592noreply@blogger.comBlogger1125tag:blogger.com,1999:blog-10448119.post-78717153439196325972013-07-02T04:48:09.427-04:002013-07-02T04:48:09.427-04:00This reminds me of a talk Skilling gave where he m...This reminds me of a talk Skilling gave where he mentioned what kind of accuracy you might need for log(Z). The usual story is that you need to get down to ~0.1 accuracy because that's about how precise our probability judgments usually are. But in big problems the prior probability of a "close" evidence ratio is really tiny. You'd be very unlucky to get a dataset that was so borderline.Brendon J. Brewerhttp://stat.auckland.ac.nz/~brewer/noreply@blogger.com