Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation [PDF]
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
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Bayesian Model Averaging with the Integrated Nested Laplace Approximation [PDF]
Econometrics, 2020 The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent effects of Bayesian hierarchical models that can be expressed as latent ...
Virgilio Gómez-Rubio +2 more
doaj +9 more sources
Efficient and flexible Integration of variant characteristics in rare variant association studies using integrated nested Laplace approximation. [PDF]
PLoS Computational Biology, 2021 Rare variants are thought to play an important role in the etiology of complex diseases and may explain a significant fraction of the missing heritability in genetic disease studies. Next-generation sequencing facilitates the association of rare variants
Hana Susak +9 more
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Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia [PDF]
BMC Public HealthIntroduction Dengue is a mosquito-borne disease caused by the dengue virus, primarily transmitted by Aedes aegypti and Aedes albopictus. Its incidence fluctuates due to spatial and temporal factors, necessitating robust modeling approaches for prediction
Marko Ferdian Salim +2 more
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The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models. [PDF]
J Appl Stat, 2023 Spatial point process models are theoretically useful for mapping discrete events, such as plant or animal presence, across space; however, the computational complexity of fitting these models is often a barrier to their practical use.
Flagg K, Hoegh A.
europepmc +4 more sources
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation [PDF]
Statistics and Computing, 2017 The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM).
V. Gómez‐Rubio, H. Rue
semanticscholar +8 more sources
Importance Sampling with the Integrated Nested Laplace Approximation [PDF]
Journal of Computational and Graphical Statistics, 2021 The integrated nested Laplace approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation of posterior marginals for the parameters in the models.
Martin Outzen Berild +3 more
semanticscholar +4 more sources
Media Statistika, 2019 Poverty is a complex and multidimensional problem so that it becomes a development priority. Applications of poverty modeling in discrete data are still few and applications of the Bayesian paradigm are also still few.
Retsi Firda Maulina +2 more
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Fitting double hierarchical models with the integrated nested Laplace approximation [PDF]
Statistics and Computing, 2022 Double hierarchical generalized linear models (DHGLM) are a family of models that are flexible enough as to model hierarchically the mean and scale parameters.
M. Morales-Otero +2 more
semanticscholar +3 more sources
Simplified integrated nested Laplace approximation [PDF]
Biometrika, 2019 Integrated nested Laplace approximation provides accurate and efficient approximations for marginal distributions in latent Gaussian random field models. Computational feasibility of the original Rue et al.
S. Wood
semanticscholar +5 more sources