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A Toolbox for Fitting Complex Spatial Point Process Models Using Integrated Nested Laplace Approximation (INLA) [PDF]
Annals of Applied Statistics, 2012 Published in at http://dx.doi.org/10.1214/11-AOAS530 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Håvard Rue +2 more
exaly +7 more sources
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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.
Mark D. Robinson +2 more
exaly +3 more sources
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 ...
Pitkäniemi J, Håvard Rue, Karri Seppä
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Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)
Statistical Methods & Applications, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Massimo Bilancia, Giacomo Demarinis
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Fitting Logistic Multilevel Models With Crossed Random Effects via Bayesian Integrated Nested Laplace Approximations: A Simulation Study [PDF]
Journal of Statistical Computation and Simulation, 2017 Fitting cross-classified multilevel models with binary response is challenging. In this setting a promising method is Bayesian inference through Integrated Nested Laplace Approximations (INLA), which performs well in several latent variable models.
Francesco Innocenti, Leonardo Grilli
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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
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Bailey Magers +2 more
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