### Fall 2010 Classes: 36-757 and 36-835

I will not be teaching data
mining this fall; 36-350 is being taken over this year by my friend and
mentor Chris Genovese.
Instead, I will be teaching 36-757 (if you'd be interested, you're already in
it*), and co-teaching 36-835 with Rob
Kass. Here's the announcement for the latter:

- 36-835 Seminar on Statistical Modeling
- First meeting: Tuesday, 24 August, 1:30 pm in Porter Hall A20A (organizational)
- This course will be a weekly journal club on the principles and practice of
statistical modeling, organized through the careful reading and group
discussion of important recent papers. Readings will be selected by the class
from sources such as JASA
or Annals of Applied
Statistics. Discussion will emphasize the relationship between
scientific questions and statistical methods. Each week students will be
required to post, in an online discussion group, one cogent question or comment
about the reading, and will be required to participate in the discussion. Each
student will also be responsible for leading at least one class discussion. The
course is intended for graduate students in Statistics or Machine
Learning. Others are welcome.

If there's interest, I'll post the reading list. Our first paper will
definitely be Breiman's "Statistical Modeling: The Two Cultures"
(Statistical
Science **16** (2001): 199--231).

Update, 26 August: handouts for 757, which may be of broader interest.

Update, 7 September: There was interest in the 835
reading list.

*: This is the first half of "advanced data
analysis", a year-long project our doctoral students do on analyzing data
provided by an outside investigator, under the supervision of a faculty member.
ADA culminates in the student presenting their findings in written and oral
form, which serves as one of their three qualifying exams. The goal is to
solve genuine scientific questions, not (or not just) to use the most shiny
methodological toys. If you have some real-world data which need to be
analyzed, and which seem like they might benefit from the attention of a very
smart statistics graduate student, please get in touch. (I promise
nothing.)

Corrupting the Young;
Enigmas of Chance;
Self-centered

Posted by crshalizi at August 17, 2010 14:57 | permanent link