statisticsfall2014

Pittsburgh is a great city

Hey, I wrote a "sales pitch" based on my first year at CMU thus far: http://statisticalsignal.com/?p=258 I think if you're specifically interested in in machine learning, CMU gives you lots of options. We take two ML classes the first year, including "Statistical Machine Learning" http://www.stat.cmu.edu/~larry/=sml/which I think is quite unique. Lot's of our faculty are joint, and there's lots of opportunity to work with whoever you want here, everyone I've e-mailed is very friendly and open to communication/collaboration. (at least 3 of us work with ML professors, and there's a statistical machine learning reading group that is great: http://www.cs.cmu.edu/~aarti/SMLRG/) I can't say anything about Michigan since I don't know too much about it, but I'm sure it's a great experience as well. Either way, you have two great options. I would give a good amount of weights to the visits, and see which department you feel more comfortable, the people there, etc...

Uw too - (Guttorp) and maybe Chicago (Stein)

ooh yeah I gotcha, yeah I think he's along the same line of reasoning as when he says:: "I imagine that a cutoff model would be more appropriate" I think one of the next interesting is comparing this data with actual data that some schools publish (like Duke, UW, Etc..), then we can maybe get a better idea of how representative TGC data is.

Yeah but you would need a lot of dummies (say for 160, 161, 162.....) since there's a lot of different scores :0! Way to go on the acceptances!

One of my friends wrote a post about this.. nice package!!! http://minimallysufficient.github.io/2015/02/08/gradcafe.html

This is a great thread. I just made it through my first semester, but I will try and collect my thoughts and post on it.

what is the salary?

Hell yeah! Thanks for reading it. The honest truth is that it's probably an advantage being domestic as opposed to international. Be able to speak English is hugely important

if you have the cash, apply to a bunch of those places. you have a good record, and you should be in the running anywhere. Writing an NSF proposal will make applications way easier, good job. Also consider CMU and NC State

I think you will get funding at a PhD program if you apply to 10ish places. To be safe, definitely try to apply to a couple "sure things", but I would definitely apply to everywhere mentioned. Your application looks very strong to me although applied math to stat is right, some of the schools may auto reject based on a GPA threshold.

Those scores are fine. I would look into UC-Santa Barbara for financial statistics!

The ASA is as worthwhile as you want it to be. I became an active member and met a ton of people in my local chapter, so it was pretty worthwhile. They are definitely always eager for young aspiring statisticians to come and help out. I would imagine if you talked to enough people it could lead to some sort of internship.

Here's my fully thought out post: http://statisticalsignal.com/?p=120

My last day at work is coming up and I'm off to graduate school in about a month in a half. My question is how did people spend their time in the months leading up to graduate school, what recommendations do you have, etc.. It seems like a lot of people are reviewing things like real analysis, linear algebra, etc.. I've been hoping to do some other things unrelated to statistics, such as sharpening up my personal finance, reading about health/exercise, and working on making a personal website for research. What do people think?