Statistics & Applied Probability - PSTAT

Advanced univariate time series methods, decomposition and prediction methods, time series regression methods and factor models and ARIMA and state space model characterization, Kalman filtering and score recursion, MIDAS regression, GLARMA models and method of scoring, Cox and Sichel models and introduction to panel regression.

Prerequisites: PSTAT 274; and, PSTAT 207A or 213A or 220A.


PSTAT 277A
4 / 30 Enrolled
Advanced Time Series
Gareth Peters 3.6
T R
17:00 PM - 18:15 PM