Sensitivity Analysis for Computer Models
Date:
01/09/2014
Organised by:
Royal Statistical Society
Presenter:
Jeremy Oakley and Mark Strong
Level:
Intermediate (some prior knowledge)
Contact:
Paul Gentry, 020 7614 3918, conference@rss.org.uk
Map:
View in Google Maps (S1 2JA)
Venue:
Sheffield City Hall, Barker's Pool, Sheffield, South Yorkshire
Description:
Computer models are used in many disciplines for making predictions when conducting physical experiments would be too costly or impractical. Typically, there will be uncertainty as to what values should be used for some of the model inputs, which induces uncertainty in the model output predictions. This course is concerned with methods for investigating how individual uncertain inputs contribute to the output uncertainty, so that model users can determine where to concentrate their resources in reducing input uncertainty. The course will include both theory and practical computational tools, implemented in the software package R. The course will also include an introduction to methods for eliciting probability distributions from experts, for the purposes of quantifying uncertainty about model inputs.
Knowledge of standard probability distributions and basic Monte Carlo methods will be assumed.
Cost:
£168-£408 depending on membership status and date of registration
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Frameworks for Research and Research Designs, Frameworks for Research and Research Designs (other), Quantitative Data Handling and Data Analysis, Quantitative Software
Related publications and presentations:
Frameworks for Research and Research Designs
Frameworks for Research and Research Designs (other)
Quantitative Data Handling and Data Analysis
Quantitative Software