Results 121 to 130 of about 1,710 (136)
Some of the next articles are maybe not open access.
Direct fitting of dynamic models using integrated nested Laplace approximations — INLA
Computational Statistics and Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elias Teixeira Krainski, Håvard Rue
exaly +2 more sources
Analysis of Next Generation Sequencing Data Using Integrated Nested Laplace Approximation (INLA)
2014Integrated Nested Laplace Approximation (INLA), implemented in the R-package r-inla, is a very versatile methodology for the Bayesian analysis of next generation sequencing count data: it can account for zero-inflation, random effects and correlation across genomic features.
Andrea Riebler +2 more
exaly +3 more sources
Global flood reporting has generally improved over the last century, particularly as global disasterdatabases have started archiving and aggregating flood events. While these disaster databases,including EM-DAT, DFO, HANZE, and UNDRR, are helpful tools for flood analysis, they areoften incomplete in their reporting.
Bailey Magers +2 more
openaire +1 more source
Bailey Magers +2 more
openaire +1 more source
Importance Sampling with the Integrated Nested Laplace Approximation
Journal of Computational and Graphical Statistics, 2022Martin Outzen Berild +2 more
exaly
Multivariate Posterior Inference for Spatial Models with the Integrated Nested Laplace Approximation
Journal of the Royal Statistical Society Series C: Applied Statistics, 2019Virgilio Gómez-Rubio +1 more
exaly
Extending Integrated Nested Laplace Approximation to a Class of Near‐Gaussian Latent Models
Scandinavian Journal of Statistics, 2014Håvard Rue
exaly
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
Statistics and Computing, 2017Virgilio Gómez-Rubio +2 more
exaly

