The course outline
Hints/draft R code for implementing this for a regression example from D. Pena
x=c(1:10,17,17,17)
y=c(1:10,25,25,25)
The assignment being to provide a legend that explains all the lines and symbols in this plot
With a bonus assignment being to provide better R code and or techniques.
And a possible graduate student assignment to investigate what percentage of examples in graduate stats texts (e.g. Cox & Hinkley) could be displayed this way (reducing the number of parameters to least number possible).
K?
p.s. might have been a better post for Friday the 13th
p.s.2 background material from my thesis (passed in 2007)
ThesisReprint.pdf
Assignment answer: BRAAAIIINS!
In fact, this is the correct answer to all assignment and exam questions in this course.
Bonus problem: what is the probability that I am the only person making this joke? Solution: BRAAAIIINS!
Corey – you are absolutely correct – I am just extracting the brains from the usual Bayesian MCMC incarnation and trying to lay them out more digestibly on an easy serve platter
K?
with apologies to the squeamish