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Found 5 results

  1. Heyo yall, I'm currently applying to some PhD programs in stats and I'm trying to gauge how competitive I will be. Undergraduate Institution: R1 state school, top 100ish US News, not particularly well-known Major: Mathematics and Economics Minor: Data Science GPA: 4.00 Type of Student: Domestic white male (I am not straight tho I have absolutely no idea if I should include this on my app) Research Interest: Econometrics, applied statistics in social sciences, ML GRE Score: 168Q/160V/4.5, no math subject test cause it was canceled Math classes: Calc III (A), Basic Concepts in Ma
  2. Undergrad institution: NYU Major: Honors Mathematics GPA: ~3.7 Domestic/International: domestic. Research Interests: Probabilistic time series analysis, bayesian stats, reinforcement learning, deep learning. Humanitarian slant. Undergrad Math Courses: Honors cal III (B+), honors LinAl (A-), Indep Study in classical diffgeo (A), ODEs (A-), honors analysis I (A-), honors algebra I (A-), independent study in representation theory (A), honors analysis II (functional analysis and measure theory, A), honors algebra II (B+) independent study in wavelet analysis (A). Grad
  3. I have been accepted to PhD programs for the upcoming Fall at the University of Florida (UF) and the Iowa State University (ISU). -> UF has a small program with younger faculty--most of them are recent graduates from ivy schools--while ISU has one of the largest Statistics department in the US. ->UF is ranked #40 this year and ISU is tied at #20 -> Both places have research that interests me -> UF has a better reputation as a research university in general Please help me decide on picking the school for myself. What factors should I consider before making
  4. Hi everyone, I just received the PhD offer from CMU stats department, and I am so happy with that. However, now I am facing a difficult decision between choosing to stay at University of Toronto for my PhD (where I did my undergrad) or go to CMU for a new adventure. My current research interest is more about: 1. Applied Bayesian inferential methods. 2. Statistical Computations. 3. Machine learning and Data Science. And my future plan is to find a faculty position in statistics. The pros for UofT: 1. I am an international student, so staying at uoft makes it more possible
  5. I just finished my junior year of college, and I want to apply to statistics phd programs this upcoming fall. I am wondering how my math background is for phd admissions. I want to apply to top 20 programs. The math/ stat classes I've taken so far: calculus 3, linear algebra, ODE, advanced calculus, probability theory, theory of statistics, discrete math, linear models, basic analysis in function spaces, topics in analysis (undergrad real analysis), data analysis, intro programming, intro data analysis, multivariate statistics, data mining/ machine learning I have A's in all exc
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