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inlabru: software for fitting latent Gaussian models with non-linear
  predictors

inlabru: software for fitting latent Gaussian models with non-linear predictors

30 June 2024
Finn Lindgren
F. Bachl
Janine Illian
Man Ho Suen
H. Rue
Andrew E. Seaton
ArXivPDFHTML

Papers citing "inlabru: software for fitting latent Gaussian models with non-linear predictors"

2 / 2 papers shown
Title
Joint Posterior Inference for Latent Gaussian Models with R-INLA
Joint Posterior Inference for Latent Gaussian Models with R-INLA
Cristian Chiuchiolo
J. van Niekerk
H. Rue
BDL
37
8
0
06 Dec 2021
Bayesian computing with INLA: new features
Bayesian computing with INLA: new features
Thiago G. Martins
Daniel P. Simpson
Till Mossakowski
H. Rue
BDL
134
556
0
01 Oct 2012
1