kblarsen4

4 ms·

1. 1.▲
   by kblarsen4 12y ago

   It is also worth mentioning that Bayesian classifiers, like Naive Bayes, are different from the type of Bayesian regression models described in this post. Naive Bayes, for example, is more of a "machine learning" technique where t
2. 2.▲
   by kblarsen4 12y ago

   The Python-based "Bayesian Methods for Hackers" looks interesting: http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabil...
3. 3.▲
   by kblarsen4 12y ago

   I noticed that I had a typo. I meant "data is fixed" not "hand is fixed," but I guess it was clear anyway. I see your point. Thanks for the input. I do think that P(hypothesis | Data) - the Bayesian way - is more intuiti
4. 4.▲
   by kblarsen4 12y ago

   But you will never know the truth. So it seems more practical to assume that the parameter follows some distribution and that the hand is fixed. Just a more logical approach to gauging uncertainty in my opinion. But, this is not a "Fre
5. 5.▲
   by kblarsen4 12y ago

   The book by Peter Rossi et al that is referenced in this post is a good start if you want the Bayesian approach to shrinkage.