Intermediate Variable Emulation: Using Internal Processes in Simulators to Build More Informative Emulators
From MaRDI portal
Publication:5862905
DOI10.1137/20M1370902zbMath1482.62116OpenAlexW4221088244MaRDI QIDQ5862905
No author found.
Publication date: 10 March 2022
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/20m1370902
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Galaxy formation: Bayesian history matching for the observable Universe
- Dimension reduction via principal variables
- The design and analysis of computer experiments.
- A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China
- Computer model validation with functional output
- Galaxy formation: a Bayesian uncertainty analysis
- Bayesian Calibration of Computer Models
- Uncertainty Analysis for Functional Computer Output: A Simulation Study in Inverse Problems
- When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies
- A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes
- Principal Variables
- Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines
- Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
- Hierarchical Emulation: A Method for Modeling and Comparing Nested Simulators
This page was built for publication: Intermediate Variable Emulation: Using Internal Processes in Simulators to Build More Informative Emulators