Psychology | Math Models in Psychology 1
P658 | 3829 | J. Busemeyer


Time Series and Signal Processing.
This course will introduce students to methods for analyzing data
collected over time and space including examples such as consumer
purchases over time, ERP recordings over time from multiple sites,
neural recordings over time from multiple sites, response times taken
over repeated measurements under various experimental conditions, and
other time series intervention studies.  The course will cover
discrete time stochastic dynamic models, standard time series models
such as autoregression and moving average models, time
series intervention models, one and two dimensional fast fourier
analysis, and possibly if time permits, nonlinear or nonstationary
models.