Professor
Department of Statistics,
North Carolina State University,
Raleigh, NC, 276958203.
len_stefanski@ncsu.edu
Education:

Current Research Interests:

Homer Simpson. Mathematics is no stranger to the Simpsons, see simpsonsmath.com, but this may be the first time that Homer has dabbled in statistics. It appears that he has embedded himself into an infinite do loop! The image above is a spoof of a scene from a Simpson's episode in which Homer tackles a difficult mathematical derivation. Click on the image to learn how it was constructed. 
Ronald Aylmer Fisher (18901962). This is an embeddedimage version of a wellknown image of Fisher operating a calculating machine. You can find the original at several places on the web, see here for example. Click on the image to learn how it was constructed. 
Below is an animated illustration of a nifty feature available in the new version of JMP softwareinteractive tuning parameter selection for variable selection methods. The topright panel contains the forwardselection, BIC criterion selection curve for a data set with the Homer Simpson image embedded in the residual plot (n = 8406, p = 99, 4 nonzero). As the tuning parameter moves right to left toward the minimum of BIC curve, the corresponding parameter estimates can be tracked on the coefficent path plots (topleft panel); and the resulting residual plots appear in the lowerleft panel. Thanks to JMP developer and diehard Wolfpack fan, Clay Barker, for preparing the animation. Read more about Clay's JMP interactive model building routines.

Projections can be revealing or misleading.
The shadow art below by Shigeo Fukuda is made of 848 welded knives,
spoons, and forks (the kind you eat with, not the front forks of a motorcycle). It is titled
Lunch with a Helmet On.
See more examples of shadow art. Thanks to Munir Winkel for bringing this to my attention.

The shadowy images you see around in the background are large trout holding in about six feet of water. 
R Programs for Visualizing the NRC Rankings Data NRC Rankings Data.
The material on this web page is based upon work supported by the National Science Foundation under Grant No. 0504283. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation. 
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