HOW DO GAMs WORK ?

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* GAMs work by replacing the coefficients found in parametric models by a smoother.

* 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).

Further details on the models

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Generalized Additive Models 23.4.96 Page : 3 of 15