Trend fitting, auto-regressive schemes, moving average models, periodograms, second-order stationary processes, ARCH models, statistical software for time series. Additional topics may include Bayesian analysis, spectral theory, Kalman filtering.
This course may not be repeated for credit.
Prerequisite(s)
- Statistics 429 or consent of the Division.
SyllabusSections
This course will be offered next in
Winter 2015.