Experimental Analysis of Algorithms: Interfaces between Statistics and Computer Science: A Planning Meeting
April 4, 2006
DIMACS Center, Rutgers University, Piscataway, NJ
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).
- Alan Karr, National Institute of Statistical Sciences (NISS), firstname.lastname@example.org
- Regina Liu, Rutgers University, email@example.com
- David Johnson, A T & T Research, firstname.lastname@example.org
- Catherine McGeoch, Amherst College, email@example.com
- Joseph Naus, Rutgers University, firstname.lastname@example.org
- Fred Roberts, DIMACS, email@example.com
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.
Contacting the Center
Document last modified on March 29, 2006.