Emulation and History Matching using the hmer Package
dc.contributor.author | Iskauskas, A | |
dc.contributor.author | Vernon, I | |
dc.contributor.author | Goldstein, M | |
dc.contributor.author | Scarponi, D | |
dc.contributor.author | McKinley, TJ | |
dc.contributor.author | White, RG | |
dc.contributor.author | McCreesh, N | |
dc.date.accessioned | 2024-01-22T11:42:21Z | |
dc.date.issued | 2024-06-03 | |
dc.date.updated | 2024-01-22T09:53:27Z | |
dc.description.abstract | Modelling 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 optimisation 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, visualise, and robustly predict from their complex simulators. | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | Research England | en_GB |
dc.description.sponsorship | UKRI | en_GB |
dc.description.sponsorship | National Institutes of Health (NIH) | en_GB |
dc.description.sponsorship | EDCTP | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Economic and Social Research Council (ESRC) | en_GB |
dc.description.sponsorship | Bill & Melinda Gates Foundation | en_GB |
dc.description.sponsorship | World Health Organization (WHO) | en_GB |
dc.identifier.citation | Vol. 109 (10), pp. 1 - 48 | en_GB |
dc.identifier.doi | 10.18637/jss.v109.i10 | |
dc.identifier.grantnumber | 218261/Z/19/Z | en_GB |
dc.identifier.grantnumber | EP/W011956/1 | en_GB |
dc.identifier.grantnumber | 218261/Z/19/Z | en_GB |
dc.identifier.grantnumber | 1R01AI147321-01 | en_GB |
dc.identifier.grantnumber | RIA208D-2505B | en_GB |
dc.identifier.grantnumber | CCF17-7779 | en_GB |
dc.identifier.grantnumber | ES/P009011/1 | en_GB |
dc.identifier.grantnumber | OPP1084276 | en_GB |
dc.identifier.grantnumber | OPP1135288 | en_GB |
dc.identifier.grantnumber | INV-001754 | en_GB |
dc.identifier.grantnumber | 2020/985800-0 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/135084 | |
dc.identifier | ORCID: 0000-0002-9485-3236 (McKinley, Trevelyan) | |
dc.language.iso | en | en_GB |
dc.publisher | Foundation for Open Access Statistics | en_GB |
dc.rights | © 2024. Open access under a Creative Commons Attribution License (CC-BY) licence | |
dc.subject | emulation | en_GB |
dc.subject | history matching | en_GB |
dc.subject | calibration | en_GB |
dc.subject | R | en_GB |
dc.title | Emulation and History Matching using the hmer Package | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-01-22T11:42:21Z | |
dc.identifier.issn | 1548-7660 | |
dc.description | This is the final version. Available on open access from the Foundation for Open Access Statistics via the DOI in this record | en_GB |
dc.identifier.journal | Journal of Statistical Software | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | en_GB |
dcterms.dateAccepted | 2023-12-18 | |
dcterms.dateSubmitted | 2022-09-12 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-12-18 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-01-22T09:53:32Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2024-06-12T14:47:03Z | |
refterms.panel | A | en_GB |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © 2024. Open access under a Creative Commons Attribution License (CC-BY) licence