Metamodels and the Bootstrap for Input Model Uncertainty Analysis

Add to your list(s) Download to your calendar using vCal

• Barton, R (National Science Foundation)
• Thursday 08 September 2011, 11:30-12:00
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact Mustapha Amrani.

Design and Analysis of Experiments

The distribution of simulation output statistics includes variation form the finiteness of samples used to construct input probability models. Metamodels and bootstrapping provide a way to characterize this error. The metamodel-fiting experiment benefits from a sequential design strategy. We describe the elements of such a strategy, and show how they impact performance.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

• All CMS events
• Featured lists
• INI info aggregator
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 1, Newton Institute
• bld31

Note that ex-directory lists are not shown.