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The Integrated Nested Laplace Approximation
Bayesian Inference with INLA, 2020V. Gómez‐Rubio
semanticscholar +2 more sources
Communications in Statistics Part B: Simulation and Computation, 2019
T. Neyens, C. Faes, G. Molenberghs
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T. Neyens, C. Faes, G. Molenberghs
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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
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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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
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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
Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations [PDF]
Journal of Forecasting, 2014 ABSTRACTThis article discusses the use of Bayesian methods for inference and forecasting in dynamic term structure models through integrated nested Laplace approximations (INLA). This method of analytical approximation allows accurate inferences for latent factors, parameters and forecasts in dynamic models with reduced computational cost.
Márcio Laurini, Luiz Koodi Hotta
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Global and Stochastic Analysis
: Count Data denotes the frequency of an event transpiring within a designated time interval. For instance, examine the prevalence of caesarean sections that women experience during their lifetime.
A. Pradesh, Srinu Setti, B.MUNISWAMY
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: Count Data denotes the frequency of an event transpiring within a designated time interval. For instance, examine the prevalence of caesarean sections that women experience during their lifetime.
A. Pradesh, Srinu Setti, B.MUNISWAMY
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Applying integrated nested laplace approximation to the superresolution problem
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2011Superresolution is a term used to describe the generation of a high-resolution image from a sequence of similar low-resolution images. In 2011 we derived a closed form to resolve the superresolution problem, thus proposing a new algorithm to generate the high-resolution image.
Marcelo Oliveira Camponez +2 more
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Communications in Statistics - Theory and Methods, 2020
Analysis of functional magnetic resonance imaging (fMRI) data plays a crucial role in medical statistics. Many developed approaches have relied on the voxel-wise general linear model (GLM). Despite the popularity of classical GLM, this procedure has some
P. Naseri, H. Alavi Majd, S. Tabatabaei
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Analysis of functional magnetic resonance imaging (fMRI) data plays a crucial role in medical statistics. Many developed approaches have relied on the voxel-wise general linear model (GLM). Despite the popularity of classical GLM, this procedure has some
P. Naseri, H. Alavi Majd, S. Tabatabaei
semanticscholar +1 more source