Journal article
Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models
- Abstract:
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Stochastic individual-based mathematical models are attractive for modelling biological phenomena because they naturally capture the stochasticity and variability that is often evident in biological data. Such models also allow us to track the motion of individuals within the population of interest. Unfortunately, capturing this microscopic detail means that simulation and parameter inference can become computationally expensive. One approach for overcoming this computational limitation is to...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 15.7MB, Terms of use)
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(Preview, Supplementary materials, pdf, 2.6MB, Terms of use)
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- Publisher copy:
- 10.1016/j.jtbi.2022.111201
Authors
- Publisher:
- Elsevier
- Journal:
- Journal of Theoretical Biology More from this journal
- Volume:
- 549
- Article number:
- 111201
- Publication date:
- 2022-06-22
- Acceptance date:
- 2022-06-10
- DOI:
- EISSN:
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1095-8541
- ISSN:
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0022-5193
- Pmid:
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35752285
- Language:
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English
- Keywords:
- Pubs id:
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1265740
- Local pid:
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pubs:1265740
- Deposit date:
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2022-08-08
Terms of use
- Copyright holder:
- Elsevier Ltd.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Elsevier Ltd. All rights reserved.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.jtbi.2022.111201
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