sharnett

5 ms·

1. 1.▲
   by sharnett 6mo ago

   Interview with Lugg (YC S15) with some details on how they did it: https://www.ycombinator.com/blog/interview-with-lugg-founder...
2. 2.▲
   by sharnett 9y ago

   Very interesting! I explored this method and compared it to Newton's method, you may like it: https://github.com/sharnett/point_to_ellipse/blob/master/poi...
3. 3.▲
   by sharnett 11y ago

   "x is with a likelihood of 95% between a and b" -- that is not what a confidence interval means. Confidence intervals are about as confusing as p-values and don't really solve the problem.
4. 4.▲
   Bayesian AB testing with explicitly modeling the expected effect size(nbviewer.ipython.org)

   1 points by sharnett 12y ago|0 comments
5. 5.▲
   by sharnett 12y ago

   Very nice, much faster than simulating it. I guess if you're using an informative prior, instead of adding 1 to the number of successes and failures, you add the corresponding parameters of your beta prior? A pretty good shortcut (if y
6. 6.▲
   by sharnett 13y ago

   A nit pick: I believe your 'readable' interpretation of the confidence interval isn't quite right: http://en.wikipedia.org/wiki/Confidence_interval#Meaning_and...