Published in arXiv, 2024
Submitted.
Recommended citation: Lindgren, F., Bachl, F., Illian, J., Suen, M. H., Rue, H., & Seaton, A. E. (2024). inlabru: software for fitting latent Gaussian models with non-linear predictors. arXiv preprint arXiv:2407.00791.
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Published in Environmetrics, 2026
Recommended citation: Suen, M. H., Naylor, M., & Lindgren, F. (2026). Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data. Environmetrics, 37(2), e70078. https://doi.org/10.1002/env.70078
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Published in Frontiers in Earth Science, 2026
Recommended citation: Suen, M. H., Naylor, M., Mudd, S. M., & Lindgren, F. (2026). Influence of river incision on landslides triggered in Nepal by the 2015 Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru. Frontiers in Earth Science, 14, 1876760.
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Published:
Impact of climate and local environment on Dengue and Zika dynamics in Brazil: A joint Bayesian spatio-temporal model
Published:
Linearisation approach for aggregated landslides data (EO329: Applied spatio-temporal modelling)
Published:
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
Postgraduate course, Imperial College London, School of Public Health, 2019
Spatial Analysis (SPH019) Investigate theoretical and methodological statistical foundations for spatio-temporal data
Undergraduate and Postgraduate course, University of Edinburgh, School of Mathematics, 2021
2021-2025 - Tutor for Undergraduate and Postgraduate courses during PhD study including: Honours Analysis, Statistical Computing, Statistical Programming, Bayesian Theory, Incomplete Data Analysis, etc
Workshop, University of Edinburgh, School of Mathematics, 2025
Tutor at the workshop.
Postgraduate course, Imperial College London, School of Public Health, 2026
PUBH70061 - Bayesian Reasoning and Methods for Spatio-Temporal Data