Volume II - The R-INLA project
    Minicurso: Advances and Challenges in Space-time Modelling (17-18 June 2013 , Lisbon) · Model criticism and conflict diagnostics using R-INLA · N-Mixture models · NCSE Summer Workshop 2015: "Flexible spatial (and spatio-temporal) modelling using the SPDE approach “ · New book: "Bayesian RegressionModeling 
    RPubs - Spatial Modeling with R-INLA
    Below, I show examples of using INLA to fit Bayesian regression models for data from US counties. One example will be a relatively small data set from Texas, while the other example will be all US counties. The US county example basically emulates the paper by Sparks et al 2012. library(maptools)
    Bayesian computing with INLA - R-INLA
    New book: "Bayesian Regression Modeling with INLA" Congratulations to Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway, for their new book " Bayesian RegressionModelling with INLA", which is announced on Amazon and ready for preorder (at Posted 4 Jan 2018, 08:39 by Havard Rue; "A gentle INLA tutorial".
    Bayesian Regression Modeling With Inla (Hardcover) (Xiaofeng
    This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior  
    Bayesian Regression Modeling with INLA by Wang, Xiaofeng
    This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior  
    Bayesian regression and hierarchical models - Spatial and Spatio
    Spatial and Spatio-temporal Bayesian Models with R-INLA Bayesianregression models;; generalized linear models;; link function;; relative risk;; hierarchical models;; exchangeability;; random effects; It starts with linear and generalized linear models (logistic and Poisson regression with fixed effects).
    Bayesian computing with INLA - The R-INLA project
    New book: "Bayesian Regression Modeling with INLA" Congratulations to Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway, for their new book " Bayesian RegressionModelling with INLA", which is announced on Amazon and ready for preorder (at Posted 4 Jan 2018, 08:39 by Havard Rue; "A gentle INLA tutorial".
    RPubs - DEM 7263 Bayesian Regression using the INLA
    The INLA Approach to Bayesian models. The Integrated Nested Laplace Approximation, or INLA, approach is a recently developed, computationally simpler method for fitting Bayesian models [(Rue et al., 2009, compared to traditional Markov Chain Monte Carlo (MCMC) approaches. INLA fits models that  
    Spatial and Spatio-temporal Bayesian Models with R - INLA - Google Books Result
    Marta Blangiardo, Michela Cameletti - ‎2015 - Mathematics
    Model criticism and conflict diagnostics using R-INLA - The R-INLA
    Model criticism and conflict diagnostics using R-INLA. N-Mixture models · NCSE Summer Workshop 2015: "Flexible spatial (and spatio-temporal) modelling using the SPDE approach “ · New book: "Bayesian Regression Modeling with INLA" · New comparison paper: logit mixed models · New features in 
    PC-priors (Simpson et al (2014, 2015, 2016)) - The R-INLA project
    Minicurso: Advances and Challenges in Space-time Modelling (17-18 June 2013 , Lisbon) · Model criticism and conflict diagnostics using R-INLA · N-Mixture models · NCSE Summer Workshop 2015: "Flexible spatial (and spatio-temporal) modelling using the SPDE approach “ · New book: "Bayesian RegressionModeling 
    Bayesian computing with INLA - R-INLA
    New book: "Bayesian Regression Modeling with INLA" Congratulations to Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway, for their new book " Bayesian RegressionModelling with INLA", which is announced on Amazon and ready for preorder (at Posted 4 Jan 2018, 08:39 by Havard Rue; "A gentle INLA tutorial".
    Discussion forum - The R-INLA project
    Minicurso: Advances and Challenges in Space-time Modelling (17-18 June 2013 , Lisbon) · Model criticism and conflict diagnostics using R-INLA · N-Mixture models · NCSE Summer Workshop 2015: "Flexible spatial (and spatio-temporal) modelling using the SPDE approach “ · New book: "Bayesian RegressionModeling 
    Bayesian Regression Modeling with INLA by Faraway, Julian J
    This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior  
    Tools to manipulate models and likelihoods - The R-INLA project
    This is the site for the INLA approach to Bayesian inference within the R project for Statistical Computing. The first example, is a simple linear regression, where the first half of the data is observed with unknown precision tau.1 (with a ' default' noninformative prior) and the second half of the data is observed with unknown 
    Bayesian analysis of measurement error models using INLA
    Measurement error models using INLA. 3 increase the use of ME thinking in practice and stimulates the greater use of Bayesian methods in ME modelling. Section 2 introduces three applications from the biological/medical field containing: a linear regression combined with heteroscedastic classical error, 
    Likelihoods - The R-INLA project
    This is the site for the INLA approach to Bayesian inference within the R project for Statistical Computing.
    Bayesian Regression Modeling with INLA : Xiaofeng Wang
    Bayesian Regression Modeling with INLA by Xiaofeng Wang, 9781498727259, available at Book Depository with free delivery worldwide.
    Bayesian Regression Modeling with INLA — the University of Bath's
    This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations 
    Simulating autocorrelated errors - The R-INLA project
    New book: "Bayesian Regression Modeling with INLA" Congratulations to Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway, for their new book " Bayesian RegressionModelling with INLA", which is announced on Amazon and ready for preorder (at Posted 4 Jan 2018, 08:39 by Havard Rue; "A gentle INLA tutorial".