Computer simulators often contain options to include extensions, leading to different versions of a particular simulator with slightly different input spaces. We develop hierarchical emulation, a method for emulating such simulators and for learning about the differences between versions of a simulator. In an example using data from an ocean carbon cycle model, hierarchical emulators outperformed standard emulators both in their predictive accuracy and their coherence with the emulation model. The hierarchical emulator performed particularly well when a comparatively small amount of training data came from the extended simulator. This benefit of hierarchical emulation is advantageous when the extended simulator is costly to run compared to ...
model checking The use of hierarchical models in statistical applications, and for educational data,...
This research investigates how aggregation is currently conducted for simulation of large systems. T...
We outline a probabilistic framework for linking mathematical models to the physical systems that th...
Computer models are now widely used across a range of scientific disciplines to describe various com...
Complex systems are often modelled by intricate and intensive computer simulators. This makes their ...
Computer models are widely used to help make decisions about real-world systems. As computer models ...
Simulation can be considered a necessary evil in the validation of systems, especially when the syst...
We consider the problem of designing for complex high-dimensional computer models that can be evalua...
The analysis of the output from a large-scale computer simulation experiment can pose a challenging ...
A statistical emulator is a fast proxy for a complex computer model which predicts model output at a...
This paper explores learning emulators for parameter estimation with uncertainty estimation of high-...
In order to understand underlying processes governing environmental and physical processes, and pred...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993....
Increasingly, science relies on complex numerical models to aid understanding of physical phenomena....
Statistical emulators for the outputs of complex computer codes (simulators) are typically construct...
model checking The use of hierarchical models in statistical applications, and for educational data,...
This research investigates how aggregation is currently conducted for simulation of large systems. T...
We outline a probabilistic framework for linking mathematical models to the physical systems that th...
Computer models are now widely used across a range of scientific disciplines to describe various com...
Complex systems are often modelled by intricate and intensive computer simulators. This makes their ...
Computer models are widely used to help make decisions about real-world systems. As computer models ...
Simulation can be considered a necessary evil in the validation of systems, especially when the syst...
We consider the problem of designing for complex high-dimensional computer models that can be evalua...
The analysis of the output from a large-scale computer simulation experiment can pose a challenging ...
A statistical emulator is a fast proxy for a complex computer model which predicts model output at a...
This paper explores learning emulators for parameter estimation with uncertainty estimation of high-...
In order to understand underlying processes governing environmental and physical processes, and pred...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993....
Increasingly, science relies on complex numerical models to aid understanding of physical phenomena....
Statistical emulators for the outputs of complex computer codes (simulators) are typically construct...
model checking The use of hierarchical models in statistical applications, and for educational data,...
This research investigates how aggregation is currently conducted for simulation of large systems. T...
We outline a probabilistic framework for linking mathematical models to the physical systems that th...