There are currently no scheduled offerings of this course. For more information on when this course may be offered in the future please contact the Registrar's Office.
Methods for modeling and forecasting time series data. Topics may include time series regression, forecast evaluation, ARIMA models, state-space models and the Kalman filter, nonstationary analysis, vector autoregressions, and conditional heteroskedasticity.