Stats 300B: Theory of Statistics IIJohn Duchi, Stanford University, Winter 2017
LecturesTuesday and Thursday, 10:30  11:50 PM in Building 380, Room 380F. InstructorJohn Duchi
Teaching AssistantsYu Bai
Stephen Bates
PrerequisitesStats 300A, Stats 310A. TextsRequired:
Recommended:
GradingYour grade will be determined by scribing (5%), weekly problem sets (60%), and a final exam (35%). There will be (approximately) weekly homework assignments throughout the course, which will count for 60% of the grade. In effort to speed grading and homework return to you, we will grade homework problems and their subparts on a {0, 1, 2}scale: 0 indicates a completely incorrect answer, 1 indicating approximately halfway correct, 2 indicating more or less correct. Everyone will be required to scribe at least one lecture (5% of final grade), and (if necessary because of enrollment) we need some students to scribe two lectures, an additional scribed lecture will increase the percentage score S of your lowest homework to min{100, S + 50} (that is, by 50%). There will be a final exam (either in class or take home, TBD by preference of class) worth 35% of the grade. Course OverviewIn this class, we will cover classical and notsoclassical techniques underpinning asymptotic statistics and large sample theory. We will highlight a few of the big ideas, but the breadth of the subject by now is so large that our treatment will necessarily be spotty. Outline
