tag:blogger.com,1999:blog-264226589944705290.post8293440977107162847..comments2022-11-19T01:08:31.131-08:00Comments on God Plays Dice: "Square roots" of probability distributionsMichael Lugohttp://www.blogger.com/profile/15671307315028242949noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-264226589944705290.post-20730612396025747712010-03-09T14:48:54.768-08:002010-03-09T14:48:54.768-08:00This comment has been removed by a blog administrator.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-264226589944705290.post-22596409743785782842010-02-23T09:32:02.269-08:002010-02-23T09:32:02.269-08:00This comment has been removed by a blog administrator.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-264226589944705290.post-66169508559717790702008-06-02T19:54:00.000-07:002008-06-02T19:54:00.000-07:00Cooper,I can't think of one off the top of my head...Cooper,<BR/><BR/>I can't think of one off the top of my head, but I'm not trying that hard. One might start by thinking of whether the convolution <I>exponential</I> of a distribution (which could be defined as exp(X) = 1 + X + X*X/2 + X*X*X/6 + ...) is useful; the logarithm would then be its inverse.Michael Lugohttps://www.blogger.com/profile/15671307315028242949noreply@blogger.comtag:blogger.com,1999:blog-264226589944705290.post-30363937460822516062008-06-02T19:51:00.000-07:002008-06-02T19:51:00.000-07:00Your comment about roots of all orders got me thin...Your comment about roots of all orders got me thinking--is there much use to the notion of the log of a distribution?Anonymousnoreply@blogger.com