Intro Model Bldg w. RKHS

[Grace Wahba]

`An Introduction to Model Building With Reproducing 
Kernel Hilbert Spaces' notes from a shortcourse given 
at Interface 2000 - now available at 

ftp://ftp.stat.wisc.edu/pub/wahba/interf/index.html

                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 heterogenous, scattered 
observations, and other information. The abstract 
ideas will be illustrated with several data analyses
including modeling risk factors for eye diseases.

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Gaussian processes, radial basis functions, support
vector machines, functional ANOVA decompositions
and the bias-variance tradeoff fit in the framework
discussed. 
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                   Grace Wahba