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Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation [PDF]
Joint modeling is widely used in medical research to properly analyze longitudinal biomarkers and survival outcomes simultaneously and to guide appropriate interventions in public health.
M. M. Ferede +2 more
semanticscholar +2 more sources
Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations [PDF]
The COVID-19 pandemic in Algeria dissplayed significant spatial and temporal heterogeneity, especially during the severe summer 2021 wave driven by the Delta variant.
Ayoub Asri
semanticscholar +2 more sources
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The Integrated Nested Laplace Approximation
Bayesian Inference with INLA, 2020V. Gómez‐Rubio
semanticscholar +2 more sources
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
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
openaire +4 more sources
International Conference on Methods & Models in Automation & Robotics, 2023
Airborne transmission is a key element in the spread of viral contagion. To prevent this, health organization publish guidelines for every major disease outbreak. However, they are often based on researches carried out without access to modern solutions.
Andrzej Neścior +3 more
semanticscholar +1 more source
Airborne transmission is a key element in the spread of viral contagion. To prevent this, health organization publish guidelines for every major disease outbreak. However, they are often based on researches carried out without access to modern solutions.
Andrzej Neścior +3 more
semanticscholar +1 more source
Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models
Journal of Statistical Computation and Simulation, 2015In 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.
L. Grilli, S. Metelli, C. Rampichini
semanticscholar +3 more sources

