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Correction to: ‘Simplified integrated nested Laplace approximation’
BiometrikazbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models
Journal of Statistical Computation and Simulation, 2014In multilevel models for binary responses, estimation is computationally challenging due to the need to evaluate intractable integrals. In this paper, we investigate the performance of integrated nested Laplace approximation (INLA), a fast deterministic method for Bayesian inference.
GRILLI, LEONARDO +2 more
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Extending Integrated Nested Laplace Approximation to a Class of Near‐Gaussian Latent Models
Scandinavian Journal of Statistics, 2014ABSTRACTThis work extends the integrated nested Laplace approximation (INLA) method to latent models outside the scope of latent Gaussian models, where independent components of the latent field can have a near‐Gaussian distribution. The proposed methodology is an essential component of a bigger project that aims to extend the R package INLA in order ...
Martins, Thiago G., Rue, Håvard
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Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)
Statistical Methods & Applications, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BILANCIA, Massimo, DEMARINIS G.
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International Journal of Hydrological and Environmental for Sustainability, 2023
Bayesian Spatial Modeling Using Integrated Nested Laplace Approximation (INLA) is an advanced statistical technique that can be used to model and analyze occurrences in geographic areas. Landslides are one of natural disasters that occur due to natural ...
Salman Alfarisi +5 more
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Bayesian Spatial Modeling Using Integrated Nested Laplace Approximation (INLA) is an advanced statistical technique that can be used to model and analyze occurrences in geographic areas. Landslides are one of natural disasters that occur due to natural ...
Salman Alfarisi +5 more
semanticscholar +1 more source
Communications in Statistics: Case Studies, Data Analysis and Applications, 2023
The spatial and spatio-temporal dependence modeling to extreme value distributions have been used to analyze the extremes of daily maximum rainfall data across selected weather stations in South Africa combining generalized Pareto distribution (GPD) with
T. A. Diriba, L. Debusho
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The spatial and spatio-temporal dependence modeling to extreme value distributions have been used to analyze the extremes of daily maximum rainfall data across selected weather stations in South Africa combining generalized Pareto distribution (GPD) with
T. A. Diriba, L. Debusho
semanticscholar +1 more source
The Integrated Nested Laplace Approximation
Bayesian Inference with INLA, 2020V. Gómez‐Rubio
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Network meta‐analysis with integrated nested Laplace approximations
Biometrical Journal, 2015Analyzing the collected evidence of a systematic review in form of a network meta‐analysis (NMA) enjoys increasing popularity and provides a valuable instrument for decision making. Bayesian inference of NMA models is often propagated, especially if correlated random effects for multiarm trials are included.
Sauter, Rafael, Held, Leonhard
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