Experimental Analysis of Algorithms: Interfaces between Statistics and Computer Science: A Planning Meeting

April 4, 2006
DIMACS Center, Rutgers University, Piscataway, NJ

Alan Karr, National Institute of Statistical Sciences (NISS), karr@niss.org
Regina Liu, Rutgers University, rliu@stat.rutgers.edu
David Johnson, A T & T Research, dsj@research.att.com
Catherine McGeoch, Amherst College, ccm@cs.amherst.edu
Joseph Naus, Rutgers University, naus@stat.rutgers.edu
Fred Roberts, DIMACS, froberts@dimacs.rutgers.edu
This meeting is jointly sponsored by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), the National Institute of Statistical Sciences (NISS), and Statistical and Applied Mathematical Sciences Institute (SAMSI).


Max Morris, Iowa State University

Title: A Brief Overview of Some Statistical Research Related to Computer Models

I'll summarize statistical ideas and methods that have been developed for empirical studies involving computer models. The presentation will focus on three general areas: (1.) assessment of the relative importance of inputs, (2.) quantitative understanding of input-output relationships, and (3.) questions involving relationships between models and their context. Most of the specific work to which I'll refer is motivated by problems involving computer models constructed to represent a ``reality'' of some sort; I'll conclude with some thoughts concerning how these and other statistical ideas might be useful in evaluations of more general models and algorithms.

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Document last modified on March 29, 2006.