TA Website of Math 281C, Spring 2020

Math 281C: Mathematical Statistics is an introduction to modern theoretical statistics; modern as opposed to the classical theory covered in Math 281A. More information can be found in the syllabus.

Instructor

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

Teaching Assistant

• Xiaoou Pan
• Email: xip024@ucsd.edu
• Office hour: By appointment. Videos with analysis and hints of homework will be uploaded to Canvas.

Recommended Books

• Asymptotic Statistics by A. W. van der Vaart
• Concentration Inequalities: A Nonasymptotic Theory of Independence by Stephane Boucheron, Gabor Lugosi, and Pascal Massart
• High-Dimensional Statistics: A Non-Asymptotic Viewpoint by Martin J. Wainwright

Lecture

• 2:00 - 3:20 pm, Tu & Th, Zoom.
• Lecture 1
• Lecture 2
• Lecture 3
• Lecture 4
• Lecture 5
• Lecture 6
• Lecture 7
• Lecture 8
• Lecture 9
• Lecture 10
• Lecture 11

Homework

• Homework 1, due Apr 17. Solutions
• Homework 2, due Apr 24. Solutions
• Homework 3, due May 1. Solutions
• Homework 4, due May 8. Solutions
• Homework 5, due May 17. Solutions
• Homework 6, due May 31. Solutions
• Homework 7, due Jun 8. Solutions

Exam

• Solutions to the final of 281A, Fall 2019.
• Good luck with your qualifying exam!
• Take-home final: due June 9, 6pm, open-book. Exam and solutions

Links

• Academic integrity at UCSD
• Kengo Kato's lecture notes (pretty hard!): Empirical Process Theory and Advanced Probability for Statisticians
• A link to past qualifying exams
• A page made by Professor Jason Schweinsberg about graduate programs and careers