7.410
Applied Statistics
Provides an introduction to modern applied statistics. Topics include likelihood-based methods for estimation, confidence intervals, and hypothesis-testing; bootstrapping; time series modeling; linear models; nonparametric regression; and model selection. Organized around examples drawn from the recent literature.
Prerequisites & course information
Prereq: Permission of instructor G (Spring) 3-0-9 units
Sources
- Course catalogue ↗2026–2027