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Journal Articles
- 2025
[j7]Alex de Beer, Andrew Power, Daniel Wong, Ken Dekkers, Michael Gravatt, Elvar K. Bjarkason, John P. O'sullivan, Michael J. O'Sullivan, Oliver J. Maclaren, Ruanui Nicholson:
Data space inversion for efficient predictions and uncertainty quantification for geothermal models. Comput. Geosci. 197: 105882 (2025)- 2024
- [j6]Michael J. Plank
, Leighton M. Watson, Oliver J. Maclaren:
Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand. PLoS Comput. Biol. 20(1) (2024) - [j5]David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi:
Generalised likelihood profiles for models with intractable likelihoods. Stat. Comput. 34(1): 50 (2024) - 2023
- [j4]Matthew J. Simpson, Oliver J. Maclaren:
Profile-Wise Analysis: A profile likelihood-based workflow for identifiability analysis, estimation, and prediction with mechanistic mathematical models. PLoS Comput. Biol. 19(9) (2023) - 2020
- [j3]Caroline J. Jagtenberg, Oliver J. Maclaren, Andrew J. Mason, Andrea Raith, Kevin Shen, Michael Sundvick:
Columnwise neighborhood search: A novel set partitioning matheuristic and its application to the VeRoLog Solver Challenge 2019. Networks 76(2): 273-293 (2020) - 2017
- [j2]Oliver J. Maclaren, Aimée Parker, Carmen Pin, Simon R. Carding, Alastair J. M. Watson, Alexander G. Fletcher, Helen M. Byrne, Philip K. Maini:
A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium. PLoS Comput. Biol. 13(7) (2017) - 2016
- [j1]Joanna Lewis, Charles E. Breeze, Jane Charlesworth, Oliver J. Maclaren, Jonathan Cooper:
Where next for the reproducibility agenda in computational biology? BMC Syst. Biol. 10: 52 (2016)
Informal and Other Publications
- 2019
- [i1]Oliver J. Maclaren, Ruanui Nicholson:
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems. CoRR abs/1904.02826 (2019)
Coauthor Index
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