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supremum

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  1. It essentially comes down to research options (and definitely not what you intend to do coming into the program, since that invariably changes). I find that the more Bayesian focused departments are often pretty heavily skewed (and probably in the limit will converge to a Bayesian-pure department, not unlike Duke), whereas most departments have a little bit of everything, which just gives you more choices. Why that's the case, I have my hunches, but that's besides the point.
  2. Masters->PhD jumps are easiest in the same department (the idea being that you're a hidden gem, and you don't come across that strong in your app, but once people meet you, they realize your worth). It's happened on a number of occasions in my department. The key assumption here is that you have to actually be an actual hidden gem (everyone thinks they are, obviously). Rankings are definitely subjective, but let's just say that Duke being that high up discounts that construction in my (admittedly highly nonbayesian) eyes. But yes a good proxy for a good Masters->PhD program would be one with a good PhD program.
  3. 1. Don't delay. Apply to masters otherwise as a route-to-phd. 2. Do the best in your research, there's nothing much you can do at this point. The rest is just luck. 3. Perhaps try to do something more "hip" with your bayesian research like at the intersection of ML and bayes? Then your application is like stat + ML, which is the ideal combination nowadays.
  4. I know I'm going to get the wrath of all the alumni, but I actually think speaking to alumni in this case is the way to go. Each program has its quirks and feel to it, and oftentimes things will change pretty drastically in a year or two. I can only speak to Yale, but if you get enough data points, you might be able to have a rough rank. First off, online has been a shitshow. But that's everyone, I imagine, except maybe those programs that have always had an online masters (?). I would defer if it were online. Pre-covid: small, tightknit group. I think if you're interested in going into industry after, there are better places (our career services are meh). I think our program is best for people looking to flirt with academia (many have taken the jump from masters to phd) or just get a very solid education.
  5. Historically, our department has been a small, theoretically-heavy, niche department, with a tiny cohort (~3 phd, ~10 masters per year). In recent years, we've started expanding both faculty and student numbers, boosted by our successful marketing plot to turn into Data Science (~6 phd, ~20 masters per year). That being said, it's not like we've sold out (looking at you, Columbia) – we still take pride in our small-ish cohort sizes, and phd and masters students take the same classes. However, the increase in applicants has been disproportionate in size (hello, Data Science), and as a result our acceptance rates are way out of whack. Like with anything that gets deluged, the result of this is that we are much more selective (and go with easy, obvious signals for an initial cull). ~ Oops, I forgot to respond to the OP: we definitely spent relatively more time considering each domestic student. Fewer in numbers, oftentimes more interesting backgrounds. Of course, we're talking about the top schools here. We also have *other* considerations that make domestic students sometimes more compelling.
  6. Oops. Turns out it's still a one year course
  7. Don't lose sleep over the Econometrics grade. Getting firsts in Real Analysis would be enough to balance that out. Also, note that the Masters program has changed to a one and a half year course. Disclaimer: I'm in the PhD Stats program at Yale.
  8. I just applied for the HGS Hall! Hope I get my first choice room
  9. What are people choosing for housing? I'm coming for Ph.D in Statistics.
  10. Just got a Yale Statistics PHD Interview Request. Anyone have any clue what they're going to ask?? I'm guessing it's going to be something like, "so, tell us about your honors thesis...so, what research are you interested in...so, why do you like yale" ??
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