Bayesian tutorial

[Crow]

https://datajobs.com/data-science-repo/ ... tatistics-[Patrick-Lam].pdf

good? better out there?

[NateTG]

Well, the link is malformed...

It also seems like a power point that really wants narration or something else to hold it together.

[Crow]

Yes, there is a linkage problem. I was moving fast that day and not anticipating an unusual problem did not recheck it. I copied the direct link again several times tonight and the problem persists. You apparently found the link. Can you link it directly? All I can do now is say take the 5th link on the list here. http://www.google.com/search?q=patrick+ ... CAUQ_AUoAA

[NateTG]

I think the square brackets are confusing the board software...

Code: Select all

https://datajobs.com/data-science-repo/Bayesian-Statistics-[Patrick-Lam].pdf

http://tinyurl.com/m4spo3c

[Crow]

Yeah. Problem solved. FWIW folks can look at the document, if interested.

[BigLeagueInsights]

Thanks for the link guys, this is a good tutorial.

[EvanZ]

The following online book is by far the best one I've gone through. It actually helped me convinced executives in my company we need to be doing more of this.

http://camdavidsonpilon.github.io/Proba ... r-Hackers/

It also got me into using PyMC and even trying to implement my own MCMC!

Here's another outstanding tutorial from one of the developers on the PyMC project:

http://nbviewer.ipython.org/github/fonn ... ayes.ipynb

For that one, your best bet is to download the source from github and run it locally on your system as an iPython notebook.