(This article was originally published at Three-Toed Sloth , and syndicated at StatsBlogs.)

Lecture 3, Model evaluation: error and inference. Statistical models have
three main uses: as ways of summarizing (reducing, compressing) the data; as
scientific models, facilitating actually *scientific* inference; and as
predictors. Both summarizing and scientific inference are linked to prediction
(though in different ways), so we'll focus on prediction. In particular for
now we focus on the

*Reading*: Notes, chapter 3 (R)

Cox and Donnelly, ch. 6

Advanced Data Analysis from an Elementary Point of View

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