Timeline for Bayesian statistics example
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 6, 2012 at 16:25 | comment | added | Xi'an | @MichaelChernick: do you mean Robert and Casella's book?! | |
| May 4, 2012 at 16:23 | comment | added | Michael R. Chernick | You may want to look at Speigelhalter et al. They are the British group that developed BUGS. Also George Casella's book on Monte Carlo covers MCMC and Jeff Gill wrote a book on Bayesian Methods for the social sciences that is excellent and also goes pretty deeply into MCMC. Bayesians use MCMC to analyze hierarchical models which can get complicated in their multiple levels of parameterization. | |
| May 4, 2012 at 13:35 | vote | accept | RNs_Ghost | ||
| May 4, 2012 at 12:30 | comment | added | Wayne | +1 for going above and beyond, @Michael Chernick. I certainly got stuck at this exact point: I could walk through a Bayes Rule application, but actually analyzing a set of data is a bit more complex. Trying to figure out how people were doing it with JAGS/BUGS was a puzzle. The book "Doing Bayesian Data Analysis: A Tutorial with R and BUGS" by John K. Kruschke has really helped me and I can highly recommend it. | |
| May 4, 2012 at 2:50 | history | answered | Michael R. Chernick | CC BY-SA 3.0 |