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Pages
Posts
Blog Post 1
Published:
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Blog Post 1
Published:
title: ‘Integration scheme in INLA’ date: 2025-01-05 permalink: /posts/2026/01/blog-post-1/ tags:
- INLA
- fmesher
- inlabru — A stable integration scheme is essential for performing mesh-based integration in
INLA. Here we describe the notation and implementation of the integration scheme used in thefmesherpackage, which is also employed inINLAfor spatial models based on the finite element method (FEM).
Random photos during PhD
Published:
Random photos taken during PhD study
Hollywood Palace 
Falkland 
Stirling 
portfolio
publications
Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru
Published in arXiv, 2025
Submitted.
Recommended citation: Suen, M. H., Naylor, M., Mudd, S., & Lindgren, F. (2025). Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru. arXiv preprint arXiv:2507.08742..
Download Paper | Download Bibtex
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
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
Download Paper | Download Bibtex
talks
Contributed Talk at The Bayesian Young Statisticians Meeting (BaYSM)
Published:
Impact of climate and local environment on Dengue and Zika dynamics in Brazil: A joint Bayesian spatio-temporal model
Contributed Talk at CM Statistics 2023
Published:
Linearisation approach for aggregated landslides data (EO329: Applied spatio-temporal modelling)
Contributed Talk at INLA: past, present, and future
Published:
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
teaching
Teaching experience at Imperial College London
Postgraduate course, Imperial College London, School of Public Health, 2019
Spatial Analysis (SPH019) Investigate theoretical and methodological statistical foundations for spatio-temporal data
Teaching experience at University of Edinburgh
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: Introduction to Bayesian spatial statistics with inlabru in R
Workshop, University of Edinburgh, School of Mathematics, 2025
Tutor at the workshop.
Teaching experience at Imperial College London
Postgraduate course, Imperial College London, School of Public Health, 2026
PUBH70061 - Bayesian Reasoning and Methods for Spatio-Temporal Data