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This is a collection of small research reports I produced during a 3 month project funded by the ReCoVER network.
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INLA from scratch: In this project I am implementing the INLA methodology for Bayesian inference from scratch, i.e. without using the R-package.
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Global mean surface temperatures: I have used R-INLA to predict future global mean temperature from an ensemble of climate model runs and historical temperature observations.
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Storm track density analysis: work in progress
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Linear regression on a spatial grid: I show how a Laplace approximation can be used to fit linear regression models over a spatial grid, under the assumption that the fields of regression parameters are realisations of smooth spatial processes.