I'd like to get better at statistics. Part of the struggle is figuring out what is important to know and spend time on learning.
That said, I have some light experience with Time Series, and would like to learn more.
I'm considering going through either of these books Cowpertwait
or Shumway
Ideally we'd have a handful of people interested , and we could each choose an exercise from a chapter to do, and post that answer.. If you did your answer correct, we could upvote that answer, and thus you would increase your reputation. I think this actually would add some motivation to do the problems and keep up with the course.
I'm open to any suggestions for what I should do as far as wanting to learn more stats/ what books to learn from, etc. I'm just putting an idea out there that I think could possibly work. I realize most of these ideas fizzle out, but I think with the possibility of having some clever fellow students to learn from, and validly increasing your reputation by solving some difficult problems, I think that it could work.
Thoughts?
I'm also interested in learning about datamining and bayesian stuff as well.
I have access to this book : Bayes Computation and this book The Elements of Statistical Learning
at first glance, The elements of statistical learning looks useful but quite challenging.
Any feedback would be greatly appreciated.