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bayessays last won the day on June 12

bayessays had the most liked content!

About bayessays

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    2013 Fall

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  1. No specific math course, beyond RA, will help you enough in admission where you should worry. I'd say beyond mastering basic probability, knowing some optimization/numerical analysis/linear algebra is going to get you the most use during your program though, so it will help to learn that. Taking advanced abstract algebra or complex analysis might make you slightly better at proofs in some general sense, but if you don't actually want to take it, it's not really going to help you. Edit: obviously taking graduate math stat will likely be the most directly useful, although topics vary between schools quite a bit. If you go to a school with a good PhD program, acing the grad math stats and getting a good letter would be a big plus
  2. It can make sense - getting high grades in a master's program improved my results the second time around, but it won't help because of research interests. I just don't think it's necessary for you to specifically apply to MS programs besides 1 or 2 safeties. I think a better use would be to apply widely to PhD programs since some programs will reject you because of GPA. Your results will probably be a little unpredictable, but honestly, anyone who looks at your profile and thinks you can't complete PhD biostatistics coursework is stupid, and that's what they're really looking for.
  3. To bounce off bayequentist (who rightfully recommended the greatest probability book ever by Jaynes), if you want to learn something about stochastic processes, check out Resnick's Adventures in Stochastic Processes. His other probability book is a standard textbook, but Adventures has an amazing sense of humor.
  4. Small department with a prestigious name and location. Their placements are inflated because Hodges places people at great Education departments. Never look at industry placements for PhD programs - anyone with a brain and a PhD can get an industry job if they want one. I would not recommend it unless you need to be in Chicago, or really want to work on educational statistics with Hodges. Disclaimer: This is just one story, and may not be indicative of a systemic issue, but I would not recommend applying to the department. They told me I would be admitted with a fellowship if I wanted to attend and then, after my campus visit (NOT an interview), told me they were giving it to another student. I had almost already told U Chicago to take me off their wait-list at this point. I'd be wary of what it's like to be a student at a place that is so willing to screw someone over without an apology.
  5. Stat 110 is a typical undergraduate probability course - your first semester Casella Berger course in grad school is just a slightly harder version. Mathematical statistics is the next chapters of the book - probability predicts how a model will generate data, mathematical statistics builds on those tools to go backwards, figuring out model parameters that fit given data. Anything more than reviewing basics of linear algebra, how to do a convergence proof in real analysis, and integration by parts will be overkill. Grad school is not about taking and passing classes - you are going to pass your classes unless you don't show up for the tests. You will never know every piece of mathematics, so preparing for it by thinking you can just accumulate all the knowledge before it doesn't make sense. I, like you, tried to learn all this stuff before grad school (and during grad school for future, and learning new programming languages I might need in future). It was all a waste of time. That being said, if you like reviewing math, go for it! But I don't think you need to be provided specific books because you already, this moment, know what you need to succeed or they wouldn't let you in. If you feel the need to do something "productive" to prepare, spending that hour a day learning some Chinese to help make friends with half your future classmates, or getting into some kind of exercise routine BEFORE school starts, will do way more for you than learning this one weird linear algebra trick.
  6. Yeah, you're vastly underestimating how valuable it is to come from one of those schools. You could get into a pretty dang good PhD program today. That might be a good option to consider since you can get an MS on the way, paid for. Edit: just realized you're interested in biostatistics. Even more so, your background is good. I'd recommend applying to top PhD programs now. I think you'd have a shot at getting into a top 6 program now, and they'll usually consider you for the MS too.
  7. You're about half way there. You still have to add lower schools - none of those is even close to a safety or even a safe target (Edit: I do think you're likely to be accepted to TAMU). I'd take off Chicago and Columbia and add 5 schools that are below every school on your list.
  8. I don't understand - you are taking analysis before applying, so there's no issue. You have a good math background anyways, so it isn't the biggest deal, but schools like Stanford are going to be full of people who took more math. I'm going to assume you're a domestic applicant? You need to do way more research on programs. Stanford, Chicago, Harvard, Columbia are going to be huge reaches - some of these schools require math subject test. Duke, CMU are super competitive and are probably where your reaches should be lying if you want to apply to top schools. NYU accepts like 1 student a year, so that's probably out. Princeton doesn't even have a statistics PhD. Then there are ND and JHU, which don't really have dedicated departments and probably wouldn't be called top 50 programs. So basically, you're shooting yourself in the foot by applying to mostly schools that are reaches, and then 4 schools that barely have departments. You should be applying to way more schools surrounding the Penn State level, in my opinion. You went to a state school - where are all the state schools? Michigan, Ohio State, Minnesota, Illinois, UCLA, Wisconsin. You could get into some of these programs today probably and have a very successful career from them.
  9. It's good that you're taking the math from a US schools, but as an international student, you're going to have a tough time getting into a PhD program with those GPAs from unknown schools. Why not get a PhD in epidemiology and do methodological stuff? Are you really sure you know what a stats PhD entails? You seem to seen passionately of research you've already done that involves statistics, so I'd dig farther into that part of the field you're already in. Getting another master's, and then a PhD from a non-top 10 department, over the next 10 years, might not be the wisest use of a decade in my opinion without really knowing what you're getting into.
  10. bayessays

    Emory vs Minnesota MS

    Minnesota has plenty of jobs, and you don't have to get a job where your school is. Do NOT get an MPH in biostatistics - get the MS. Most industry jobs do not recognize the MPH degree.
  11. I'd talk with your professors at school if possible - Ohio State is probably the range you should be targeting.
  12. You have taken enough math, and you went to a top school with great grades and test scores, so apply to any master's you'd like. Michigan's survey program is good but probably narrows some of your options a little more than statistics (but it also makes you super attractive to a subset of jobs - it's a great program!). My advice is to not worry about admissions at all and think more about what type of program is going to be both interesting to you and most useful for your goals.
  13. bayessays

    Real analysis junior or senior year?

    Since you don't want to go to a top 10 program, I don't think it matters. You have plenty of math.
  14. bayessays

    Transition to Stats PhD

    Agreed, besides HD stats, your research interests are very niche (and more common at only top departments), so you'll have to choose wisely. On your list, I think you'd get into NCSU and UCLA and be in contention at the others. I agree that I'm not sure NCSU (and UCLA really) is the best place for you given your probability interests. UNC and Rutgers are some other reasonable targets with some research overlap. A little lower in the rankings, Michigan State has a department that really fits your research interests but you won't need to go down that far.
  15. Sure, a master's would be helpful too. More is always better - and if he wants to go to a top 10 program, he should take some more classes. But this guy is going to be able to handle the coursework, so I'm just suggesting what will help him get in the door at a decent school.

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