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kingduck

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Posts posted by kingduck

  1. Hi all, 

    I am deciding between NW and TAMU right now. Roughly speaking, my interests are in ML and I want to get into stochastic processes - I hope to do work more applied in nature. Judging from US News, these two programs seem to be on two different levels, but my questions are these:

    Aside from their USNews rankings, what are reasons to attend one over the other?

    Is the level or rigor required in both departments generally the same or is one significantly different from the other?

    Thanks.


     

  2. 9 minutes ago, trynagetby said:

    I'm fairly confident that just having a good relationship with your profs so they write LOR

    I second this. My GPA and test scores were on the lower end of the spectrum of gradcafe posters, and I still got into a good programs. I highly suspect this was due to 1) my LOR's strongly believed I was capable of a PhD, and 2) they are decently well-known in their respective fields. 

  3. Yeah, I'd agree with stat asst professor here. While there is a considerable weight placed on the school name, it ultimately boils down to your contributions to the field, which is largely determined by yourself and not the name of the school. It just so happens that those in "top" schools also have done well for themselves in academia, but it's likely that they were "good", so to speak, to begin with before being admitted, and that their school fostered their initial successes.

    I think what I'm trying to say could be represented in some sort of DAG. Would be interested to see if we can use some propensity scoring on all the greats of statistics and see if anything causal can be said about school name and future success.
     

  4. I think I understand what @TroyBarnes is saying. I think the original post was about AA though, and I think its a difficult topic to address, since everyone thinks they worked hard to get where they are, and rightly so. So for admissions committees to disregard these small nuances is wrong. 

    Making it a pure meritocracy does not solve the problem's that AA aims to solve. For example, my uncle worked part time while studying in school to cover life's expenses, while my other uncle had everything paid. They both later applied to the same graduate school with similar academic profiles, but arguable my first uncle worked "harder" since there was more he had to juggle.

    On the other hand, admitting for the sake of diversity alone is also wrong. Some jobs use ethnic background as a proxy for AA, but we know its not solely about race. As OP may suggest in the academic setting, it may even get to a point where the department doesn't care for the student's success so long as other students are successful and the DEI quota is met. I'm sorry you're going through that OP, you sacrificed a lot of be where you are now. I hope your department takes note of your plight and does something in your favor about it.

  5. @AngelaBiostats i think some places have rolling interviews. take this from the nyu comments 

    "We have begun sending invitations to interview and will continue to do so until the end of February. I hope that helps! We try to interview applicants with applicants of similar interest" so its probably department specific. 

    @frequentist here i am back already. gonna get blacklist this website on my firewall lol

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