STAT 210A: ADVANCED THEORY OF PROBABILITY AND STATISTICS
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): graduate standing; STAT 201C or equivalent; or consent of instructor. Topics include measure spaces; measure integration; convergence theorems; absolute continuity; product spaces; Tonelli-fubini theorems; convolutions and transforms; probability spaces; and existence and extension theorems. Also covers inequalities; independence; conditional probability and expectation; convergence concepts; laws of large numbers; weak convergence; and central limit theorem. Credit is not awarded for STAT 201A if it has already been awarded to STAT 210A if STAT 210A was taken prior to Fall 2013.
Average GPA: 3.32
Grade distribution records: 26 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 7 | 26.9% |
| A- | 4 | 15.4% |
| B+ | 5 | 19.2% |
| B | 6 | 23.1% |
| B- | 1 | 3.8% |
| C+ | 1 | 3.8% |
| C | 2 | 7.7% |
Based on 26 student grade records across 2 terms and 2 professors.
Instructors
- Barry Arnold 13 students, Average GPA 3.46
- Yehua Li 13 students, Average GPA 3.18