92 citations · 232 across the 37 of their papers we have counts for
6 papers · 1 filter
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…
A Data Fusion Model for Meteorological Data using the INLA-SPDE method
Stephen Jun Villejo, Sara Martino, Finn Lindgren +1
This work aims to combine two primary meteorological data sources in the Philippines: data from a sparse network of weather stations and outcomes of a numerical weather prediction…
Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution
Silius M. Vandeskog, Thordis L. Thorarinsdottir, Ingelin Steinsland +1
Diurnal temperature range is an important variable in climate science that can provide information regarding climate variability and climate change. Changes in diurnal temperature…
Ranking earthquake forecasts using proper scoring rules: Binary events in a low probability environment
Francesco Serafini, Mark Naylor, Finn Lindgren +2
Operational earthquake forecasting for risk management and communication during seismic sequences depends on our ability to select an optimal forecasting model. To do this, we need…
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Amanda Mejia, Yu Ryan Yue, David Bolin +2
Cortical surface fMRI (cs-fMRI) has recently grown in popularity versus traditional volumetric fMRI, as it allows for more meaningful spatial smoothing and is more compatible with…
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
David Bolin, Finn Lindgren
A new class of stochastic field models is constructed using nested stochastic partial differential equations (SPDEs). The model class is computationally efficient, applicable to da…