## Course proposal: Bayesian and advanced likelihood statistical methods for zombies.

The course outline

ZombieCourseOutline.rtf

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)

ZombieAssign1.txt

The assignment being to provide a legend that explains all the lines and symbols in this plot

ZombieAssign1.pdf

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

1. Corey says:

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!

2. K? O'Rourke says:

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