3 papers
stat.ME2025
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
Man Ho Suen, Mark Naylor, Finn Lindgren
Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that…
stat.AP2025
Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru
Man Ho Suen, Mark Naylor, Simon Mudd +1
This study presents a comprehensive framework for modelling earthquake-induced landslides (EQILs) through a channel-based analysis of landslide centroid distributions. A key innova…
stat.ME2024
inlabru: software for fitting latent Gaussian models with non-linear predictors
Finn Lindgren, Fabian Bachl, Janine Illian +3
The integrated nested Laplace approximation (INLA) method has become a popular approach for computationally efficient approximate Bayesian computation. In particular, by leveraging…