92 citations · 232 across the 37 of their papers we have counts for
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A parameterization of anisotropic Gaussian fields with penalized complexity priors
Liam Llamazares-Elias, Jonas Latz, Finn Lindgren
Gaussian random fields (GFs) are fundamental tools in spatial modeling and can be represented flexibly and efficiently as solutions to stochastic partial differential equations (SP…
inlabru: software for fitting latent Gaussian models with non-linear predictors
Finn Lindgren, Fabian Bachl, Janine Illian +3
The integrated nested Laplace approximation (INLA) method has become a popular approach for computationally efficient approximate Bayesian computation. In particular, by leveraging…
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…