A systematic development of the mathematical theory of statistical inference covering methods of estimation, hypothesis testing, and confidence intervals. An introduction to statistical decision theory. Undergraduate probability at the level of Statistics 241a assumed. |
Instructor: | David Pollard |
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Office hours: | Wednesday 3:00 - 4:00, or by appointment |
Time: | Monday, Wednesday 1:00 - 2:20 |
Place: | 24 Hillhouse |
TA: | Peter Radchenko |
An understanding of statistical theory at the level of this course is necessary background for many of the more advanced courses offered by the Statistics Department.