Comparing distribution of harbour porpoise using generalized additive models and hierarchical Bayesian models with integrated nested laplace approximation [PDF]
Ecological Modelling, 2022 Species Distribution Models (SDMs) are used regularly to develop management strategies, but many modelling methods ignore the spatial nature of data.
Laura D Williamson +2 more
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Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation [PDF]
Statistics in Medicine, 2019 Models of excess mortality with random effects were used to estimate regional variation in relative or net survival of cancer patients. Statistical inference for these models based on the Markov chain Monte Carlo (MCMC) methods is computationally ...
Karri Seppa +2 more
exaly +3 more sources
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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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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 ...
Håvard Rue
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Model selection for mixture model via integrated nested Laplace approximation
Electronics Letters, 2015 To cluster or partition data/signal, expectation‐and‐maximisation or variational approximation with a mixture model (MM), which is a parametric probability density function represented as a weighted sum of K̂ densities, is often used. However, model selection to find the underlying K̂ is one of the key concerns in MM clustering, since the desired ...
Ji Won Yoon
exaly +2 more sources
Direct fitting of dynamic models using integrated nested Laplace approximations — INLA
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramiro Ruiz-Cárdenas +2 more
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Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling
SIAM Journal on Scientific ComputingzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lisa Gaedke-Merzhäuser +4 more
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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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AbstractFor bivariate meta‐analysis of diagnostic studies, likelihood approaches are very popular. However, they often run into numerical problems with possible non‐convergence. In addition, the construction of confidence intervals is controversial.
Lucas M Bachmann +2 more
exaly +5 more sources
Estimating stochastic volatility models using integrated nested Laplace approximations
The European Journal of Finance, 2010Volatility in financial time series is mainly analysed through two classes of models; the generalized autoregressive conditional heteroscedasticity (GARCH) models and the stochastic volatility (SV) ones. GARCH models are straightforward to estimate using maximum-likelihood techniques, while SV models require more complex inferential and computational ...
Sara Martino +4 more
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