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