I re-read a short paper of Andrew Gelman’s yesterday about multilevel modeling, and thought “That would make a nice example for PyMC”. The paper is “Multilevel (hierarchical) modeling: what it can and cannot do, and R code for it is on his website.
To make things even easier for a casual blogger like myself, the example [...]
Posts Tagged as ‘Bayesian’
December 2, 2009
Multilevel (hierarchical) modeling: what it can and cannot do in Python
August 25, 2009
MCMC in Python: PyMC for Bayesian Model Selection
(Updated 9/2/2009)
I never took a statistics class, so I only know the kind of statistics you learn on the street. But now that I’m in global health research, I’ve been doing a lot of on-the-job learning. This post is about something I’ve been reading about recently, how to decide if a simple statistical [...]
November 26, 2008
MCMC in Python: PyMC for Bayesian Probability
I’ve got an urge to write another introductory tutorial for the Python MCMC package PyMC. This time, I say enough to the comfortable realm of Markov Chains for their own sake. In this tutorial, I’ll test the waters of Bayesian probability.
Now, what better problem to stick my toe in than the one that inspired Reverend [...]
