An Introduction to Model Building With Reproducing Kernel Hilbert Spaces.

An Introduction to Model Building With Reproducing Kernel Hilbert Spaces, by Grace Wahba. University of Wisconsin-Madison Statistics Department TR 1020, April 2000.

Abstract: We assume no knowledge of reproducing kernel Hilbert spaces, but review some basic concepts, with a view towards demonstrating how this setting allows the building of interesting statistical models that allow the simultaneous analysis of heterogeneous, scattered observations, and other information. The abstract ideas will be illustrated with several specific data analyses, including modeling risk factors for eye diseases.

This report contains the overhead slides and references for Grace Wahba's Shortcourse at The Interface 2000 Meeting in New Orleans, April 5, 2000.

There are 67 numbered pages plus several unnumbered pages, plus 12 pages of references, broken into four files, Parts I, II, and III, and References. Part I: ps pdf. Part II: ps pdf. Part III: ps pdf. References: ps pdf.

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