Results 161 to 170 of about 3,106 (192)

Importance Sampling with the Integrated Nested Laplace Approximation [PDF]

open access: yesJournal of Computational and Graphical Statistics, 2022
The Integrated Nested Laplace Approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation of posterior marginals for the parameters in the models. Recently, methods have been developed to extend this class of models to those that can be expressed as conditional ...
Martin Outzen Berild   +2 more
exaly   +8 more sources

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations [PDF]

open access: yesComputational Statistics and Data Analysis, 2021
Recently, it has been shown that approximations to marginal posterior distributions obtained using a low discrepancy sequence (LDS) can outperform standard grid-based methods with respect to both accuracy and computational efficiency. This recent method, which we will refer to as LDS-StM, can also produce good approximations to multimodal posteriors ...
Chaitanya Joshi   +2 more
exaly   +7 more sources

Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]

open access: yesMethods in Ecology and Evolution, 2013
Summary We highlight an emerging statistical method, integrated nested Laplace approximation ( INLA ), which is ideally suited for fitting complex models to many of the rich spatial data ...
Janine B Illian   +2 more
exaly   +6 more sources

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

open access: yesStatistical Methods and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Massimo Bilancia, Bilancia Massimo
exaly   +4 more sources

Applying integrated nested laplace approximation to the superresolution problem [PDF]

open access: yes2011 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 Camponêz   +2 more
exaly   +3 more sources

Home - About - Disclaimer - Privacy