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Bayequentist

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About Bayequentist

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  1. Besides classes, GRE General/Subject, it'd be awesome if you can do a REU this coming summer. A good LoR from a research advisor will strengthen your profile a lot.
  2. If you can show admission committee that you know linear algebra, I think you'd have a good chance of getting into Oregon State's MS Statistics program, with funding. It'd be a good stepping stone to a better PhD program.
  3. I think DanielWarlock was a little confused. OP never stated that he wants a PhD in Statistics. Almost all of the materials taught in a typical MS Statistics program are not measure-theoretic (the probability course might touch upon a little bit of σ-algebra).
  4. IIRC Stat PhD Now Postdoc mentioned that he did his PhD at UF. You can search the database of gradcafe for GRE scores: https://www.thegradcafe.com/survey/index.php?q=uiuc+statistics and https://www.thegradcafe.com/survey/index.php?q=university+of+florida+statistics.
  5. In addition to numerical analysis/optimization, I think you should take a legit CS class, like Data Structures & Algorithms or Parallel Programming.
  6. Aside from Mathematical Statistics, a course on Stochastic Processes is also a common follow-up to Stat 110. Since galois seems to prefer watching lecture videos to reading books, fast.ai has a pretty interesting course on computational linear algebra.
  7. The authors did publish a more recent book: Computer Age Statistical Inference, which has a better balance between frequentist and Bayesian approaches. There are also roughly 20 pages on Neural Networks and Deep Learning.
  8. Speaking of statistical learning, what do people in the stats community think of deep learning methods such as CNN, RNN, GAN, Deep Graphical Models? Thanks!
  9. These are the rankings that most people look at: https://www.usnews.com/best-graduate-schools/top-science-schools/statistics-rankings?name=biostatistics.
  10. This is a tough one. Your low math grades are not consistent with your high quant GRE score. Do you have a professor that can explain the bad grades for you in his/her letter of recommendation? You are a URM and a female so you may still have a chance for a biostats program ranked 30~50, given your extensive research background, high GRE scores, and good LoRs.
  11. Your background is indeed enough for admission to Computational Science programs. You should head over to the Biology forum if you wanna ask about comp. neuro. programs! Most people on this forum only know about math/stats/biostats.
  12. For Applied Math PhD, you'll need undergraduate Real Analysis. For CS PhD, you'll need coursework on Data Structures and Algorithms (at least), and maybe Theory of Computation. Though your mileage may vary, almost all competitive PhD applicants I know have the above-mentioned coursework in their transcript.
  13. Schaums has 2 sections: Solved Problems and Supplementary Problems. In Solved Problems, the solution is shown right after the problem statement. In Supplementary Problems, they only provide the answers to the problems without showing you how to solve them. I'd imagine you'd be able to find a lot of solutions to the Supplementary Problems online, but don't quote me on that:P
  14. For Calculus: Schaum's Outline of Calculus is a classic book that has more than a thousand practice problems in it. The 5th edition is better than the 6th edition. For Probability, Joe Blitzstein's class is awesome - I watched all the lectures and did most of the homework problems, so I can attest to the high quality of his course. If you still want a probability textbook, the standard recommendation would be A First Course in Probability by Ross. Though personally I've found Jaynes' Probability Theory: The Logic Of Science to be a much more enjoyable read. Jaynes is not strictly an introductory textbook, but if you've taken Real Analysis before then you should have no problem reading it, as he develops everything from the ground up.
  15. We're seeing mass rejections from top schools lol. Makes me nervous.
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