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On the convergence of the Escalator Boxcar Train
Åke Brännström, Linus Carlsson, Daniel Simpson
The Escalator Boxcar Train (EBT) is a numerical method that is widely used in theoretical biology to investigate the dynamics of physiologically structured population models, i.e.,…
Bayesian computing with INLA: new features
Thiago G. Martins, Daniel Simpson, Finn Lindgren +1
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable…
The use of systems of stochastic PDEs as priors for multivariate models with discrete structures
Erlend Aune, Daniel Simpson
A challenge in multivariate problems with discrete structures is the inclusion of prior information that may differ in each separate structure. A particular example of this is seis…