Modeling and Analysis of Time Series Data

Undergraduate credit

Introduction to time series analysis using time-domain and frequency-domain methods including: auto-regressive moving average (ARMA) models, regression with ARMA errors, estimation of the spectral density, state-space model techniques for fitting structured dynamic models to time series data. Examples will be drawn from ecology, economics, epidemiology, finance and elsewhere.