Statistics 210A: Theoretical Statistics (Fall 2017)
Prof. Will Fithian (Instructor)
Office Hours: Tu 2-3, W 11-12 (or by appointment)
Xiao Li (GSI)
Office Hours: Tu 10-11, Th 3:30-4:30 (location TBD)
Lectures TuTh 12:30-2, Wheeler 222
Final Exam Th Dec 14, 3-6pm, location TBD
Announcements, homework, handouts at bCourses
Piazza discussion site for technical questions (no homework spoilers!)
Materials from class:
Aug. 29: demo of exponential tilting
Sep. 21: demo of Bayesian inference for the Beta-Binomial distribution
Oct. 3: demo of Bayes, hierarchical Bayes, and James-Stein
Stat 210A is Berkeley's introductory Ph.D.-level course on theoretical statistics. It is a fast-paced and demanding course intended to prepare students for research careers in statistics.
Statistical decision theory, frequentist and Bayesian
Estimating equations and maximum likelihood
Multiple testing and selective inference
One year of upper-division probability and statistics
All texts are available online from Springer Link.
Your final grade is based on:
Weekly problem sets: 50%
Final exam: 50%
Lateness policy: Late problem sets will not be accepted, but you will get to drop one grade.
Collaboration policy: For homework, you are welcome to work with each other or consult articles or textbooks online, but
You must write up the problem by yourself.
You may NOT consult any solutions for previous iterations of this course.
If you collaborate or use any resources other than course texts, you must acknowledge your collaborators and the resources you used.
Academic integrity: You are expected to abide by the Berkeley honor code. Violating the collaboration policy, or cheating in any other way, will result in a failing grade for the semester.
|Aug. 24||Chap. 1 and Sec. 3.1 of Keener|
|Aug. 29||Chap. 2 of Keener|
|Aug. 31||Chap. 2 and Sec. 3.2 of Keener|
|Sep. 5||Secs. 3.4, 3.5, and 3.6 of Keener|
|Sep. 7||Secs. 3.6 and 4.1 of Keener|
|Sep. 12||Secs. 4.1 and 4.2 of Keener|
|Sep. 14||Secs. 4.5 and 4.6 of Keener|
|Sep. 19||Secs. 7.1 and 7.2 of Keener|
|Sep. 21||Secs. 7.1 and 7.2 of Keener|
|Sep. 26||Secs. 7.2 and 11.1 of Keener|
|Sep. 28||Secs. 7.2 and 11.1 of Keener|
|Oct. 3||Secs. 11.1, 11.2 and 9.4 of Keener|
|Oct. 5||Secs. 12.1, 12.2, 12.3 and 12.4 of Keener|
|Oct. 10||Secs. 12.3, 12.4, 12.5, 12.6 and 12.7 of Keener|
|Oct. 12||Secs. 13.1, 13.2, and 13.3 of Keener|
|Oct. 17||Secs. 13.1, 13.2, and 13.3 of Keener|
|Oct. 19||Secs. 13.1, 13.2, and 13.3 of Keener|
|Oct. 24||Secs. 14.1, 14.2, 14.4, 14.5, and 14.7 of Keener|
|Oct. 26||Secs. 8.1, 8.2, and 8.3 of Keener|
|Oct. 31||Secs. 8.3 and 8.4 of Keener|
|Nov. 2||Secs. 8.5, 9.1, and 9.2 of Keener|
|Nov. 7||Secs. 9.1, 9.2, and 9.3 of Keener|
|Nov. 9||Secs. 9.1, 9.2, and 9.3 of Keener|
|Nov. 14||Secs. 9.5 and 9.7 of Keener|
|Nov. 16||Secs. 19.1 – 19.3 of Keener; 15.1 – 15.4 of Lehmann & Romano|
|Nov. 21||Lecs. 2 and 3 of Candes|
|Nov. 23||No class. Happy Thanksgiving!|
|Nov. 28||Lec. 6 of Candes|
|Nov. 30||Lecs. 8 and 9 of Candes|
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