<p>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.  </p>

<p>That said, I have some light experience with Time Series, and would like to learn more.  </p>

<p>I'm considering going through either of these books <a href="http://rads.stackoverflow.com/amzn/click/0387886974" rel="nofollow">Cowpertwait</a></p>

<p>or <a href="http://rads.stackoverflow.com/amzn/click/0387293175" rel="nofollow">Shumway</a></p>

<p>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.</p>

<p>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.</p>

<p>Thoughts?</p>

<p>I'm also interested in learning about datamining and bayesian stuff as well.  </p>

<p>I have access to this book : <a href="http://rads.stackoverflow.com/amzn/click/0387922970" rel="nofollow">Bayes Computation</a>
and this book <a href="http://www-stat.stanford.edu/~tibs/ElemStatLearn/" rel="nofollow">The Elements of Statistical Learning</a></p>

<p>at first glance, The elements of statistical learning looks useful but quite challenging.  </p>

<p>Any feedback would be greatly appreciated.</p>
