Results 171 to 180 of about 3,307,614 (190)

Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)

open access: yesStatistical Methods & Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Massimo Bilancia, Giacomo Demarinis
openaire   +3 more sources

Spatial seismic point pattern analysis with Integrated Nested Laplace Approximation

open access: yes, 2020
This paper proposes the use of Integrated Nested Laplace Approximation (Rue et al., 2009) to describe the spatial displacement of earthquake data. Specifying a hiechical structure of the data and parameters, an inhomogeneuos Log-Gaussian Cox Processes model is applied for describing seismic events occurred in Greece, an area of seismic hazard.
Nicoletta D'Angelo   +2 more
openaire   +2 more sources

Network meta‐analysis with integrated nested Laplace approximations

Biometrical Journal, 2015
Analyzing 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   +5 more sources

Applying integrated nested laplace approximation to the superresolution problem

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2011
Superresolution 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
openaire   +2 more sources

Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations [PDF]

open access: possibleJournal 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
openaire   +1 more source

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