2011-12 Program on Uncertainty Quantification: Methodology
Methodological Research Foci
The program on Methodology for Uncertainty Quantification focused on exploring the development and analysis of computational, mathematical, and statistical methods used for Uncertainty Quantification as well as applications of these methods to address problems arising as part of conducting Uncertainty Quantification. Balancing statistics and mathematics, activities was organized around the themes of:
• Foundations, Theory, and Methods
• Representation and Propagation of Uncertainty
• Data Assimilation
• Inverse Problems and Model Calibration
• Rare Events
Organizers: D. Cooley, D. Estep, M. Gunzburger, J. Hannig, D. Higdon, J. Wu
Workshops
Working Groups
- Surrogate Models - Methodology UQ
- Inverse Function-based Inference - Methodology UQ
- Approximating Computationally Intensive Functions and Sampling Design in High Dimensions - Methodology UQ
- Multiphysics - Methodology UQ
- Model Validation - Methodology UQ
- Stochastic to Deterministic Models and Back Again - Methodology UQ
- Data Assimilation - Methodology UQ
- Simulation of Rare Events - Methodology UQ
Academic Year of Program
June 20, 2011 - June 30, 2012