20 citations · 28 across the 3 of their papers we have counts for
3 papers
The MCMC split sampler: A block Gibbs sampling scheme for latent Gaussian models
Óli Páll Geirsson, Birgir Hrafnkelsson, Daniel Simpson +1
A novel computationally efficient Markov chain Monte Carlo (MCMC) scheme for latent Gaussian models (LGMs) is proposed in this paper. The sampling scheme is a two block Gibbs sampl…
Computationally efficient spatial modeling of annual maximum 24 hour precipitation. An application to data from Iceland
Óli Páll Geirsson, Birgir Hrafnkelsson, Daniel Simpson
We propose a computationally efficient statistical method to obtain distributional properties of annual maximum 24 hour precipitation on a 1 km by 1 km regular grid over Iceland. A…
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Yu Ryan Yue, Daniel Simpson, Finn Lindgren +1
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathemati…