title          :: AFNI Time Series Analysis (part 6/8): Advanced Regression
presentation   :: afni_TimeSeriesAnalysis.pdf
scripts        :: s6a.TimeSeriesAnalysis.MultiModels.csh
                  s6b.TimeSeriesAnalysis.IMModel.csh
                  s6c.TimeSeriesAnalysis.AMModel.csh
                  s6d.TimeSeriesAnalysis.DMModel.csh
date           :: 2020-04
speaker        :: Cox
outline        ::
This sequence of talks goes over the individual subject time series
analysis methods in the AFNI package. It starts with the background
concepts of linear models and linear regression, and proceeds to
the AFNI methods for building models for time series analysis,
simple and complicated. Part 6 covers
 + Other basis functions available in AFNI
 + IM regression - to get a beta value for each stimulus event
 + AM regression - to fit the BOLD response amplitude to
   a per-event behavioral parameter
 + DM regression - when the duration of events in the same
   class differ significantly
 + Brief mention of nonlinear time series regression in AFNI
 + Statistics computed from a linear model