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bayessays

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bayessays last won the day on August 12

bayessays had the most liked content!

About bayessays

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    Mocha

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  • Application Season
    2013 Fall

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  1. bayessays

    One year master's program.

    Depends. If you are aiming for the same level of schools, applying again without any extra coursework or letters is not going to help - maybe consider waiting a year. If you have adjusted your expectations and are applying lower, then your master's isn't going to help much but maybe you can get into a lower school this year.
  2. bayessays

    2019 Stat PhD Profile

    I'm assuming you're going to get a 167+ on your GRE for the rest of this. You are light on math - you need to get that analysis grade on your transcript before you have a shot at any school on your list. Harvard, Chicago, Penn, and Columbia almost certainly will be rejections. Michigan and UNC (due to rank) and Northwestern (due to size) likely will be as well. Michigan State is doable. You need to get the analysis grade on your transcript, and apply to schools outside of the top 20. Your grades are great, but your math background is lacking, your research doesn't appear to be standout, and you go to an unremarkable school. You should consider applying to biostat programs outside the top 3-5 as well.
  3. bayessays

    Fall 2019 Stat PhD Profile Evaluation

    Are you specifically mentioning your research interest in your application? It's so incredibly narrow that I think it would set off alarms at most departments that you won't be happy doing anything else; it comes off as a bizarrely niche interest. Maybe broaden your statement to say your interested in theoretical and Bayesian statistics. Have you looked at UT Austin? Stephen Walker there is a top theoretical Bayesian.
  4. bayessays

    Measure Theory vs Bayesian Stats

    I completely agree with the two people above. The only way I would lean towards the measure theory more is if you plan on doing extremely theoretical work (in which case you probably wouldn't be asking this) or applying to extremely theoretical schools (Chicago, Penn, etc). I don't think otherwise it will be a big enough boost to your application to make up for the fact that it seems like the Bayesian class will be more of a boost to your development and more interesting to you.
  5. Depends on the school. Stanford and Chicago stick out to me as top MS programs where they also have top PhD program. Columbia, on the other hand, runs an MS program that is very large and not well-regarded. Michigan has a top PhD program but their MS is in applied statistics and has basically no theory whatsoever. Really depends.
  6. I think you're over-thinking the worst case scenarios here. The schools aren't going to try to cheat you out of a master's degree. For instance, you say that UT Austin is a "maybe" but you can clearly look on their website and see that they offer a master's degree - just complete the courses! If the school offers a master's, you can probably get it. I'd suggest applying to the schools you want to apply to and just ask this question when you visit! Nobody is going to think less of you for it - it's not like you're scheming does a way to cheat the system; you just want to know in case something goes wrong!
  7. You're fine, don't worry about it. Most intro linear algebra classes are mostly applied with some proofs thrown in. It's pretty rare for people to take a really proof-based first linear algebra course.
  8. bayessays

    2019 Statistics PhD Profile

    Almost everyone I see getting into CSU has near perfect grades, I was rejected the first time I applied and admissions have gotten much harder in the past five years, and I think it's disproportionately competitive to its rank because of the desirable location. They used to allow you to apply for free, which made it worse, but maybe fewer people apply now. This wasn't at all a knock on your profile - I think it's likely harder to get into CSU than Iowa State or TAMU.
  9. bayessays

    2019 Statistics PhD Profile

    Your profile is almost identical to mine in terms of grades and GRE, but you didn't go to as good of a school and have some less research. I think you're going to struggle a bit with your current list - FSU (and maybe Virginia Tech, but they have some funding issues I hear) is really the only school there that I think you have a pretty good shot at. Maybe have a shot at TAMU because of size and location. I think CMU, NCSU, Madison, Penn State, Colorado State would be wastes of money.
  10. I'd say the top 3 are probably unlikely as an international applicant and you should apply to a wide range of schools below that.
  11. Nobody will care one bit. They might be surprised you went somewhere that allowed you to have four majors but that's about it. They're very natural majors for a statistics program anyway.
  12. An super applied data analytics-type MS isn't going to help you much, but there are definitely programs where you would take Casella-Berger type theory courses, regression classes that actually use linear algebra, and advanced electives that are more mathematical. I would take that over a math MS any day. Unless you really love pure math and just want to do it for fun, it's way overkill and probably won't help much.
  13. Some schools have hard cutoffs that you'll have an issue getting around? Is your GPA on an upward trend or pretty consistent? I wouldn't put too much weight into average GPAs as programs - it's a lot of selection bias - how many people are there at top 5 schools who didn't take classes seriously but are clearly intelligent, have interned at top tech companies and have research experience? It's hard to really find comparisons for people like that. I has a lower than average GPA and had good success in applications. I think your biggest issue is going to be getting people to even look at your application with that GPA, so apply to schools without cutoffs. Maybe even try to use your connections/profs to vouge for you. They're master's programs, so they're not really taking funding risk with you so I imagine you'll be able to get in somewhere.
  14. My GPA was the same as yours and I got into top 20 programs with strong letters and research. I wouldn't give up hope, but you will probably have very mixed results (eg, I got into top 10 programs but was rejected from programs in the 40s). I think you should submit more apps than the average applicant to increase your exposure because the results will be more over the place.
  15. Given that you went to a good school, clearly have a strong math background even with some shaky grades, if you think you will have some good recommendations I would say to apply to a range of schools in the 40-70 range, maybe with some reaches a little higher, and some master's programs.
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