Math 281: Mathematical Statistics is a qualifying course for statistics graduate students. It offers an introduction to asymptotic analysis in the classical literature and non-asymptotic analysis which guarantees finite sample performance. More information can be found in the syllabus.

- 2:00 - 3:20 pm, Tu & Th, APM 5402.
- Lecture notes will be uploaded to TritonEd every week.

- Wenxin Zhou
- Email: wez243@ucsd.edu
- Office: APM 6131
- Office hour: 1:00 - 2:00 pm, Tu & Th

- Xiaoou Pan
- Email: xip024@ucsd.edu
- Office: APM 1121
- Office hour: 5:00 - 7:00 pm, Wed

- Asymptotic Statistics by A. W. van der Vaart
- Theory of Point Estimation by E. L. Lehmann and G. Casella

- Homework 1, due Oct 10. Solutions
- Homework 2, due Oct 17. Solutions
- Homework 3, due Oct 24. Solutions
- Homework 4, due Oct 31. Solutions
- Homework 5, due Nov 14. Solutions
- Homework 6, due Nov 21. Solutions
- Happy Thanksgiving!
- Homework 7, due Dec 5. Solutions
- Please fill out instructor's and TA's evaluation, thank you!

- Dec 12 (Thursday), 3:00 - 6:00 pm, APM 5402.
- Open book, but cellphone, tablet or any electronic devices are not allowed.
- Topics: stochastic convergence, multivariate normal distribution, delta method, variance-stabilizing transformation, M-estimator/maximum likelihood estimator (identifiability, consistency, asymptotic normality) and nonparametric kernel smoothing.
- Final. Solutions

- Academic integrity at UCSD
- A link to past qualifying exams
- A page made by Professor Jason Schweinsberg about graduate programs and careers