I have just applied to PhD programs in Statistics. These programs are in the T-30 or so, and I would like to get honest feedback on my chances of getting into these programs. Furthermore, I would like advice on how I should proceed if I don't get in this cycle.
Undergrad Stats:
Degree: Statistics Major (International Institute)
Cumulative GPA: 3.71/4.00
Major GPA: 3.85/4.0
Courses Taken (Grade) : (Upper level Math Courses)
Mathematical Analysis I-III (A,A,A-),
Real Analysis (A) ,
Complex Analysis (A),
Topology (A)
Master Stats:
Degree: Applied Mathematics Major (UPenn)
Cumulative GPA: 4.00/4.00
Courses Taken (Grade) : (All Math & Stat PhD courses)
Analysis (A) [Stein Functional Analysis (2/3) + Real Analysis(1/3)]
Partial Differential Equations (A+) [Evans]
Probability Theory (A) [Durrett]
Stochastic Processes (A) [Durrett + Michael Steel]
Numerical Linear Algebra (A+)
Mathematical Statistics (A+) [Casella & Lehmann]
Asymptotic Statistics (A) [VDV + MJW]
Research Experience:
5 papers on arXiv [One is under major revision at EJS; two are reviewed under JMLR; one is ready to submit to AoS; one is ready to submit to JASA]
Letters:
2 letters from Wharton: very strong [Have finished three papers with them, two of them are first-authored],
1 letter from Probability course Professor: very strong [famous in probability community],
1 letter from UCL Professor: very strong. [Finished the EJS paper with him, first-author].
Schools: (All Stats PhD)
Stanford, Harvard, CMU, Duke, Wharton, Chicago, Yale, Rice, NCSU, Berkeley, Columbia, MIT (IDSS), UW, UWM, Cornell, Michigan.
Am I too aggressive? Any comments are welcome! Thank you.