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SenhorJose

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  • Application Season
    2013 Fall
  • Program
    Statistics

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  1. Some good statistics departments for machine learning seem to be Stanford, Berkeley, Washington, Michigan, Duke, Chicago, and CMU. Stanford and CMU are reputed to be more applied, Chicago more theoretical, Duke obviously Bayesian. U Washington has a new "Big Data" type initiative (http://escience.washington.edu/) and they seem to be hiring many good faculty in ML. Berkeley has some really good people who seem to work more on the CS side of things. Not sure about Michigan... But take all this with a grain of salt -- these are only my impressions, so the list of schools is definitely incomplete, and the way I characterize them may be imperfect/incorrect.
  2. About a week after the decision appeared on appstatus.osu.edu, I was contacted about being nominated for a fellowship. I'm under the impression that TA/RA funding hasn't been decided yet (but I can't say for sure)
  3. Keep waiting -- OSU was a little delayed getting to me about funding as well
  4. I'm admitted on appstatus.osu.edu but have yet to receive notification of any kind. You may want to check the website
  5. For what it's worth, OSU's system online took a couple weeks to recognize that all my materials had been submitted.
  6. If you have 167Q but around 80th percentile on subject test, I don't think you have need to worry. However I do think admissions for NYU/Duke are very tough no matter what your research interests are. I unfortunately can't tell you "Yes" or "No" with regards to your chances
  7. I am not familiar with how competitive these programs are, but I do have some experience with mathematical biology. Here are a few schools that may interest you: Duke University New York University (NYU) University of Utah (not terribly well known in general, but I hear there is an outstanding research group in math bio) University of Pittsburgh (if you are interested in neuroscience) Arizona State University
  8. I'm probably applying to Cornell's stat department because of the machine learning research, but I have the same question about reputation. No one I've talked to has really mentioned Cornell Looking at the NRC rankings ( http://chronicle.com...tistics/124660/ ), Cornell stats is not too high on the S-ranking but seems to do much better on the regression-based R-rankings. So that may be important, depending on how you interpret those numbers...
  9. I am applying for Stats PhD programs (Fall 2013 entrance) and would appreciate a few opinions on my List I really enjoy most of statistics, but at the moment I think I will do some sort of statistical machine learning work. I am also pretty interested in bio/medical applications (considering UNC biostat, maybe other biostat programs?). So any comments particular to my interests would be greatly appreciated. My profile is something like: Undergrad: Public school, top 40-60(?) overall. Higher ranked in math/stats Majors: Applied Math, Computer Science Minor: Statistics GPA: 4.00 Domestic Student GRE: Haven't taken yet Math subject GRE: 820/990 (85th percentile) [G] means graduate course Math Courses: As and A+ in Calculus, Real Analysis (2 semesters), Abstract algebra, Linear algebra (lower division), Differential Equations, Numerical Analysis [G] currently taking Mathematical Modeling [G], Linear Control Theory [G] Statistics Courses: As and A+ in Easy Intro Stats, Math Stats (2 semesters), Stochastic Models [G], Regression Plus a smattering of computer science courses that aren't directly relevant to stats Research: Summer 2011 REU in mathematical biology, Summer 2012 REU in mathematical biology, Independent work in applied math (parameter estimation/optimization stuff, tangentially related to statistics) Presentations/Publications: 2nd author papers from summers 2011-12 are under review, given poster presentations at two national math conferences Other stuff: 2 years Math tutoring, currently grading many calculus exams... Letters: Good to excellent letter from summer 2012 mentor (very well known in the field); excellent letter from independent research advisor (full professor at my university); third letter undecided The Current List (in order of perceived levels of competition): Stanford Berkeley Washington Michigan Chicago Carnegie Mellon UNC (biostat) Columbia Purdue Ohio State Minnesota I'm thinking I'll apply to 8-12 in the end. Thanks!
  10. I'm also interested in ML, but from the stats (rather than computer science) side of things. Some statistics departments which have at least a few people in learning are (in some rough ordering based on NRC rankings or competitiveness or what have you): Stanford Berkeley Michigan CMU Columbia Purdue Minnesota Ohio State There are many others, I'm sure. But again, these are strictly statistics departments that I'm considering, with PhD programs that cover a lot of traditional statistical theory/applications other than learning. Hope this helps, though
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