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notafrequentist

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Everything posted by notafrequentist

  1. I currently have a 3.4 due to a bad freshman year, but it'll go up this semester. I'm a double Math/Statistics major at Pitt and a current junior. This semester I'm taking Advanced Calculus 1, Combinatorics (including lots of graph theory), Abstract Algebra (group theory), Time Series, and an MBA Data Mining class. Next semester I'll probably be taking a graduate-level Statistics class, and it'll most likely be Survival Analysis, and that's assuming I can't get into CMU's functional programming class. I've been trying to find Stat or Machine Learning classes there to cross-register for but they all fill up too quickly. I'll also be taking Data Structures and possibly Assembly, while taking Systems, Algorithms, and possibly a PhD-level measure theoretic probability class the following year. I'm also pretty confident about recommendations because I'm close with two people in the math department and my Stat advisor. So far, grades in quantitative classes are as follows: Calc 1: B- Calc 2: A (but it won't show up on my transcript because I took it somewhere else) Calc 3: B+ Intro to Theoretical Math: A- Intro to One-Variable Calculus: B Linear Algebra: A Numerical Linear Algebra: A- Intro to Java: W because I had a terrible professor, but took it last summer and got an A Applied Statistical Methods: A+ Intro to Probability: B Intro to Mathematical Statistics: A- Applied Regression: A I also did a research program at SAMSI last summer for a week. I'm not sure how much that'll help.
  2. Python is great to learn, and it's not too difficult to pick up. There are plenty of online tutorials for it. I recommend both codingbat and codecademy, but be aware that sometimes codecademy will reject code even when it's entered completely correctly. Also pick up numpy, scipy, and MATPLOTLIB, as those are free scientific computing addons that are free Python alternatives to MATLAB. Python also supports Sage, which is a free symbolic calculations package that's a solid alternative to Mathematica.
  3. Thanks! Any specific recommendations? Also I just got an A- in my Numerical Linear Algebra class after a particularly difficult final. I'm worried because it seems like it'll put me in the "good, but not good enough" category when it comes time to apply. How much do they care about -s, considering a lot of schools don't even bother with them?
  4. Yeah I realized that once I got deeper into the academic process and someone finally pointed out to me that an Emeritus is retired. He did recommend me a few books to go through though, so I've been teaching myself Bayesian methodology.
  5. I e-mailed Kadane and Verdinelli because they seemed to have research interests I was interested in the most. A major issue with e-mailing professors is I have no idea which ones actually take students for research. Any recommendations for who to e-mail with regard to machine learning? Also I'm thinking about dropping Nonparametrics for an Advanced Calculus course that covers Baby Rudin so I can take graduate analysis (aka Measure Theory) as a senior. The only thing is I'll probably be overloading myself with all my other classes. Is it highly necessary to take Measure Theory to get into a good Statistics grad program?
  6. Thanks for the advice! The thing is, very few people at my school major in Statistics. We have Statistics and a joint major between Statistics and Economics, and we only have about ten pure Statistics majors. Neither major requires analysis. Also very few of us even apply to PhD programs. My Linear Algebra professor (who's also the head of undergrad math advising) said it's basically unheard of at my university for a Statistics major to take a theory-oriented linear algebra class instead of the standard applied one like I did, and I figure it's because Statistics here is a very applied major. The only theory required is intro and intermediate versions of Probability and Mathematical Statistics. Also when do REU applications generally open up?
  7. Thanks! My university has a five-year program where I'd stay one extra year and come out with my Master's. I've already applied for it and as far as I know, I think I'm the only person my year who's actually applied for it. How much will an REU help me? Also will the fact that I'm coming from a non-Ivy or a school without an amazing math department hurt me? Finally, what about not being able to take Measure Theory because my university requires us to take 13 gen eds and I can't fit it in, not just because of that but because we're required to take two real analysis classes before touching Advanced Calculus and Baby Rudin?
  8. Still useful though, so thanks! For some reason I tend to do mediocrely in intro classes and really well in more advanced classes because the depth forces me to understand the material better. Like I got a B in Microeconomics last semester because I couldn't figure out where to apply Calculus, which would have made a lot of the curve areas much easier. But so far I have As in my summer classes and plan to keep that up into the fall. Also would I be better off getting a Master's somewhere else first?
  9. http://www.jirka.org/ra/realanal.pdf Here's a free Real Analysis book that covers set theory.
  10. Undergrad: Relatively large public university in Pennsylvania, double major in Statistics and Mathematics. GPA: Currently a 3.377 (due to a mediocre freshman year), with a 3.625 for last semester. Statistics GPA is 3.52, and 3.60 for both Statistics and Math. As for individual courses: Calc 1: B- Calc 2: Transfer credit from a community college for money reasons, but an A there Calc 3: B+ Intro to Theoretical Mathematics (covers set theory, metric spaces, Cauchy sequences, etc.): A- Linear Algebra: A Numerical Linear Algebra: TBA. Taking it now. It's a scientific computing-based approach to linear algebra and we use MATLAB for everything. Ordinary Differential Equations: Not sure yet, but I'll be taking it this summer in a few weeks. Java: Withdrew due to a terrible professor in a previous semester, but taking it now and doing well so far. It's required for the math major. Intro to Statistics: A+ Regression: A Intro to Probability: B Intro to Mathematical Statistics: A- In the fall I'm taking Combinatorics, Data Mining (graduate business course), Applied Nonparametric Statistics, Applied Time Series, and Data Structures, although I'm considering dropping Nonparametrics for a second analysis class on Calculus so I don't have to put that off until the Spring. The issue would be there aren't that many applied courses offered for a specific requirement and Nonparametrics is only offered once every two years in the fall. For the future, the other courses I'd be taking are: Intro to One-Variable Calculus Physics 1 (required for math major) Abstract Algebra Advanced Calculus 1 (uses Rudin's book) Advanced Calculus 2 (Possibly) Numerical Analysis Intermediate Probability Intermediate Mathematical Statistics Stochastic Processes (Possibly) Applied Probability Theory Algorithms (for my own benefit) Recommendation letters: I know both the undergrad department heads for Statistics and Mathematics and have taken classes with both. I also have a Math professor who I've taken two classes with and am taking a third in the fall. Work: Currently tutoring someone for an Intro to Statistics class. I will have work unrelated to either major in the fall as someone hired by the university to fix peoples' computer problems. This is for financial reasons. GRE: Not sure yet Research: Did a semester-long research project in a Bio course I took freshman year (when I was a Bio major) and did a Bioinformatics research project that same semester. I did no research sophomore year, but did a week-long statistical modeling workshop through SAMSI at NCSU a few weeks ago where I modeled climate data. What should I be looking to do now if I want to get into a really good program? I've been drawn a lot to Bayesian statistics, machine learning, and data mining lately, but my university's Statistics department has nothing with regard to any of these and for data mining I've had to go out of department. I'm liking some of the stuff at Stanford even though I doubt I'll get in with my current credentials, and there's a major university across the road where I've been trying to find research experience but failing. I am also highly interested in said university, along with Duke and UW Seattle.
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