Emulation and History Matching Using the hmer Package
Dublin Core
Title
Emulation and History Matching Using the hmer Package
Subject
emulation, history matching, calibration, R.
Description
Modeling complex real-world situations such as infectious diseases, geological phenomena, and biological processes can present a dilemma: the computer model (referred to as
a simulator) needs to be complex enough to capture the dynamics of the system, but each
increase in complexity increases the evaluation time of such a simulation, making it difficult to obtain an informative description of parameter choices that would be consistent
with observed reality. While methods for identifying acceptable matches to real-world
observations exist, for example optimization or Markov chain Monte Carlo methods, they
may result in non-robust inferences or may be infeasible for computationally intensive
simulators. The techniques of emulation and history matching can make such determinations feasible, efficiently identifying regions of parameter space that produce acceptable
matches to data while also providing valuable information about the simulator’s structure, but the mathematical considerations required to perform emulation can present a
barrier for makers and users of such simulators compared to other methods. The hmer
package provides an accessible framework for using history matching and emulation on
simulator data, leveraging the computational efficiency of the approach while enabling
users to easily match to, visualize, and robustly predict from their complex simulators
a simulator) needs to be complex enough to capture the dynamics of the system, but each
increase in complexity increases the evaluation time of such a simulation, making it difficult to obtain an informative description of parameter choices that would be consistent
with observed reality. While methods for identifying acceptable matches to real-world
observations exist, for example optimization or Markov chain Monte Carlo methods, they
may result in non-robust inferences or may be infeasible for computationally intensive
simulators. The techniques of emulation and history matching can make such determinations feasible, efficiently identifying regions of parameter space that produce acceptable
matches to data while also providing valuable information about the simulator’s structure, but the mathematical considerations required to perform emulation can present a
barrier for makers and users of such simulators compared to other methods. The hmer
package provides an accessible framework for using history matching and emulation on
simulator data, leveraging the computational efficiency of the approach while enabling
users to easily match to, visualize, and robustly predict from their complex simulators
Creator
Andrew Iskauskas
Source
https://www.jstatsoft.org/article/view/v109i10
Publisher
Durham University
Date
May 2024
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Andrew Iskauskas, “Emulation and History Matching Using the hmer Package,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8335.