frequentist

Undergrad: Big State School ranked around 150 Major: Mathematics, with Minor in Computer Science GPA: 4.0 Student Type: International Male Courses: Undergraduate: Calculus Series, Into Linear Algebra, Differential Equations, Proofs and Logic, Discrete Mathematics, Undergraduate Advanced Calculus Series, Intro to Programming, Object Oriented Programming, Data Structures, Data Science in Python, Data Visualization in R, Database System, Elementary Number Theory, Complex Analysis. Graduate: Group Theory, Mathematical Statistics I, Mathematical Statistics II, Analytic Number Theory, Probabilistic Number Theory. Currently taking Graduate Real Analysis I (Lebesgue theory of integration on real line), Probability Theory I, Proof based linear algebra. Will take Real Analysis II, Probability Theory II, Bayesian Inference (or Robust Statistics) next semester. GRE General: 168 Q, 158 V Math GRE: Not taking Research: 1. Proved a result in analytic number theory with my advisor (Will have a manuscript uploaded on arxiv before submission of application). 2. Proved a result based on classical theorem in probabilistic number theory (jointly supervised by two professors, both of whom will write me letters). Paper in preparation. 3. Participated in summer research program at The Fields Institute (the same institute that awards Fields Medal in mathematics) where I worked in probabilistic number theory. I worked primarily in simulation and generating data where I wrote parallel programs in C++ using OpenMP and MPI and used supercomputers to perform simulation. Got some meaningful results. Paper in preparation. 4. Proved another theoretical result on probabilistic number theory, with my research team as a part of summer research program. Paper in preparation. My research on probablistic number theory, particularly the project where I worked on simulation and data analysis was a big factor in choosing statistics. Interest: High dimensional statistics, Bayesian Statistics Letters of Recommendation: I think I will get strong letters from all three people I have worked with. Programs Applying to: 1. Wisconsin-Madison 2. Purdue 3. Chapel Hill 4. Texas A & M 5. Penn State 6. Carnegie Mellon 7. Berkley 8. Stanford 9. Harvard 10. U Mich 11. U Chicago 12. U Washington 13. Yale 14. Duke 15. UT Austin 16. Michigan State 17. U Pittsburgh (Everyone says that admission for international students is tough, so I have added a little too many schools. Might remove Stanford, Chicago, and Harvard since I dont think I have a chance at them with my non-reputed undergrad program.) Am I being over ambitious with this school list? Since all the people whom I have worked with are pure mathematicians, they have not been able to give me much advice on choosing stat programs. So, can I get perhaps a bit harsher but an honest assesment? Some alternative suggestions fitting my interests and profile would be awesome.

Hello Everyone, I took my GRE couple of days ago and got 326 (168 on Math and 158 on Verbal). I am applying for phd in statistics and I believe that my score on math section is fine for the most programs, but the verbal score is probably less than their average for good schools. Since I am an international student, I think I would not be judged too harshly on that verbal score but I just wanted to ask here. Should I submit these scores to schools like U Michigan, UT Austin who have made GRE optional?

Undergrad: Big State School ranked around 150 Major: Mathematics, with Minor in Computer Science GPA: 4.0 (Two more semesters to go) Student Type: International Male (South Asian) Courses: Calculus Series, Into Linear Algebra, Differential Equations, Proofs and Logic, Discrete Mathematics, Undergraduate Advanced Calculus Series, Intro to Programming, Object Oriented Programming, Data Structures, Data Science in Python, Data Visualization in R, Database System, Elementary Number Theory, Group Theory, Mathematical Statistics I, Mathematical Statistics II, Analytic Number Theory, Complex Analysis, Probabilistic Number Theory. Currently taking Graduate Real Analysis I, Probability Theory I, Proof based linear algebra. Will take Real Analysis II, Probability Theory II, Topology next semester GRE General: Taking third week of October. Hoping to 165+ in quantitative Math GRE: Not taking Research: Proved a small result in analytic number theory with my advisor. Participated in summer research program at The Fields Institute where I worked in Arithmetic statistics. I worked primarily in simulation and generating data where I wrote parallel programs in C++ using OpenMP and MPI and used supercomputers to perform simulation. Got some interesting results, currently writing a paper to submit. I am also currently working in probabilistic number theory with my another advisor and we proved an interesting result, currently brushing up the work. I have a decent background in computation and pure mathematics, which stat grad school seem to value a lot. But I do not have a strong background in the thing that matters most, statistics. Letters of Recommendation: I think I will get strong letters from all three people I have worked with. Programs Applying to: Statistics PhD My questions are: 1. I initially thought I would do number theory in grad school, but as I started working in probabilistic number theory and arithmetic statistics, I found out that I loved working in problems in statistics and applied probability more and I also realized how powerful statistics is (for example we were able to generate data and verify a conjecture with statistical analysis that seemed incredibly difficult to approach with traditional mathematical tools). Should I just be honest in my statement in purpose and say I how I got interested in statistics but do not have any narrow interest figured out but will take classes in grad school and see for myself what I enjoy most? Or should I write some pretentious crap about how I am interested in some fancy sounding field and want to work with X,Y,Z professor? But I guess being honest I might not be able to convince the admission committee that I am a good fit for their department. 2. Although I have a good research background, I do not have any publication till now. Opportunities just came by and I went on doing multiple projects than sitting down to write up the results and finalize the work. Depending upon how hard I can work, we might be able to upload 3 papers in arxiv while submitting our application but I wont have a manuscript of my strongest result. Will I be able to make a case for me in good school if I do not have any publication? But both I and my advisors will be able to give brief but precise account of exact works I have done and results I have proved. 3. Since I come from a department which has almost never sent a student to top schools, do I stand a chance at top programs? I think I have worked incredibly had during my undergrad but there is always a reputation of school that might potentially hurt me. 4. All three people I have worked with are number theorists, and if I ask for fourth the person that will be able to write the best letter for me is my probability theory professor. I took two statistics class with the same professor, got A in both, but do not have great relationship with the professor. Does not having letter of recommendation from a statistics professor send a bad message? Sorry for the long ramble!

Actually, I am doing my undergraduate in the States. But I see it cant go wrong with taking a math GRE and giving a shot.

I do not know if it is early to post in this forum, but I thought I would get some suggestions before starting the process. Undergrad: Big State School ranked around 150 Major: Mathematics, with Minor in Computer Science GPA: 4.0 (By the end of Junior Year) Student Type: International Male Undergraduate Courses: Calculus Series, Into Linear Algebra, Differential Equations, Proofs and Logic, Discrete Mathematics, Undergraduate Real Analysis Series, Intro to Programming, Object Oriented Programming, Data Structures, Data Science in Python (Mostly Sickit Learn packages implementation), Data Visualization in R, Database System. Undergrad/Grad Hybrid Courses: Mathematical Statistics I, Mathematical Statistics II, Elementary Number Theory, Analytic Number Theory, Abstract Algebra I am planning on taking graduate level real analysis series (including measure theory), advanced probability series (measure theoretic), Topology, Advanced Linear Algebra, Multiplicative Number Theory, and Algorithms in my senior year. GRE General: Will take this summer Math GRE: Haven't decided yet Research: I have worked in analytic number theory since last August, found a small new result last month. I improved the error term of an important formula (Peparing the work to submit for publication). I am currently working on probabilistic number theory, but do not know if I will get any mentionable result. I got a prestigious summer fellowship of Fields Institute for this summer. I was initially supposed work on probabilistic number theory at University of Toronto for this summer as a part of fellowship, but the program has moved online because of Covid-19. I do not know how effective this online research program would be, but I will work very hard to get the best out of the program. I was also accepted to present a poster at a conference this summer, but the conference got moved to next year due to Covid-19. Letters of Recommendation: My primary advisor (number theorist; he wrote good letter that helped me land fellowship), hoping to get a letter from the professor who will become my research supervisor this summer; my computer science professor, and real analysis professor have written good letters for me in the past, so will ask for them as well depending on the program. Programs Applying to: Statistics PhD Interests: Bayesian Statistics?? (Haven't narrowed down the interest, but something that is more mathematically inclined). Considering to Apply to: Need suggestions about what should I target. Notes: What level of schools should I consider targeting to? Do I have a decent chance at top level schools to spend time preparing for subject GRE? I think I tick boxes for average to good level graduate programs, but I am not sure about top programs. As I am an international student and did not have any AP credits, I spent first two years taking 4 calculus classes, linear algebra, discrete mathematics, proofs and logic, which mostly covered what I already knew. So, I had to wait until my Junior year to take advanced mathematics classes. Also because we have a small department, I do not have options to take a lot of advanced courses. So, I neither have a strong mathematics nor statistics background. My undergraduate degree has mostly been a little of this and a little of that. But my advisor says that I have done a decent amount of work in number theory for an undergraduate student. As I still have about 7-8 months and a good summer research opportunity before applying, what should I do to make my application strong? And what level of schools should I have in my mind when I am preparing for my application? Do I have decent shot at schools like University of Michigan Ann Arbor or North Carolina Chapel Hill?