92 citations · 104 across the 2 of their papers we have counts for
2 papers
stat.CO2011★ 12 cited
Fast approximate inference with INLA: the past, the present and the future
Daniel Simpson, Finn Lindgren, Håvard Rue
Latent Gaussian models are an extremely popular, flexible class of models. Bayesian inference for these models is, however, tricky and time consuming. Recently, Rue, Martino and Ch…
stat.AP2011★ 92 cited
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…