|Jim Berger - Duke University, SAMSI
Derek Bingham - Simon Fraser University
Randy Sitter - Simon Fraser University
|Jamie Stafford - University of Toronto, NPCDS
Will Welch, UBC
The National Programme on Complex Data Structures (NPCDS) and the Statistical
and Applied Mathematical Sciences Institute (SAMSI) are please to announce
a workshop in the emerging area of computer experiments with partial funding
from the Industrial Statistics Laboratory at Simon Fraser University.
The workshop addresses the issues of the design and analysis of experiments
for complex computer models. It aims to bring together world leaders in
the design of experiments and computer simulation of complex systems to
study emerging problems in this area.
The availability of computer models has brought new and important challenges.
In many situations, simulation of complex phenomena is computationally
expensive and thus a judicious choice of experiment trials is necessary.
The notion of what is a good choice of trials is integrally related to
how the responses are to be evaluated or analyzed. Choosing a good experiment
plan has become more challenging in recent years as model fitting and
evaluation of complex computer models have required ever more intricate
methods. The workshop aims to specifically address three main problems
facing experimenters: 1.) Factor Screening in High Dimensions; 2.) Function
Fitting in High Dimensions; and 3.) Integration of Physical and Computer
The format of the workshop aims to facilitate interaction among the academics,
industry researchers and graduate student. There will be a combination
of talks, poster sessions, break out sessions and roundtable discussions.
To help the collaborative process, space will be limited to roughly 35
participants. In addition, it is hoped that each of the participants will
give a presentation of some sort. There is space still available. If you
are interested in attending, please contact Derek Bingham at firstname.lastname@example.org.
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