HOW DO GAMs WORK ? |
|
* GAMs work by replacing the coefficients found in parametric models by a smoother.Further details on the models* A smoother is a tool for summarising the trend of a response variable (Y) as a function of one or more predictors (X1...Xp).
* It produces an estimate of the trend that is less variable, i.e. smoother, than Y.
* Smoothing takes place by local averaging that is averaging the Y-values of observations having predictor values close to a target value.
* A simple example of a smoother is a running mean (or moving average).
Generalized Additive Models 23.4.96 Page : 3 of 15 |
|