5 - 9 September 2011
Organisers: Derek Bingham (Simon Fraser University), Angela Dean (The Ohio State University), Tom Santner (Ohio State University), Bruce Ankenman (Northwestern University), and Barry Nelson (Northwestern University)
in association with the Newton Institute programme Design and Analysis of Experiments
(18 July - 21 December 2011)
The objective of this workshop is to bring researchers from the deterministic computer experiment and stochastic simulation experiment communities together to share advances and diverse approaches for efficient design and analysis of such experiments.
Some of the challenges that both the stochastic simulation and deterministic computer simulation communities face arise from inputs that can be qualitative, quantitative, or a mixture of these two types. These experiments may include large numbers of inputs, not only control variable inputs but also inputs that describe environmental variation. The input regions may be constrained rather than hyper rectangular. Their outputs can be univariate, multivariate, or functional. In the case of multivariate output, the objective can be constrained optimization, contour estimation, or determination of Pareto optima. The cross-fertilization of ideas and approaches of the two research fields offers a natural confluence to spur the development of new methodology.
The presentations and panel discussions will be organized in sessions around the following themes:
All participants are invited to submit abstracts for posters. Interested participants should indicate so on the application form and submit a title and abstract to email@example.com. Poster abstracts will not be accepted after the application deadline, 31st May 2011, has passed.
Sessions will start on Monday 5 September 2011 at 9am and we envisage that the last session will end by 4pm on Friday 9 September 2011. A full, detailed programme will be available on the web in due course.