``This book introduces the basic paradigms of the Bayesian approach and describes the associated computational issues. Detailing the theory behind the INLA approach and the R …

2021年8月29日 · This book introduces the integrated nested Laplace approximation (INLA) for Bayesian inference and its associated R package R-INLA.

2021年9月30日 · Bayesian Inference with INLA provides a description of INLA and its associated R package for model fitting. This book describes the underlying methodology as well as how to fit a wide range of models with R. Topics covered include generalized linear mixed-effects models, multilevel models, spatial and spatio-temporal models, smoothing methods ...

This book introduces the integrated nested Laplace approximation (INLA) for Bayesian inference and its associated R package R-INLA.

2015年6月2日 · Spatial and Spatio-temporal Bayesian Models with R-INLA introduces the basic paradigms of the Bayesian approach and describes the associated computational issues. Detailing the theory behind the INLA approach and the R-INLA package, it focuses on spatial and spatio-temporal modeling for area and point-referenced data.

2024年4月26日 · 积分嵌套拉普拉斯近似（Integrated Nested Laplace Approximations，INLA）是拟合一大类贝叶斯回归模型的新方法。 使用INLA无须抽取边际后验分布的样本，因此在计算上它是贝叶斯推断标准工具马尔可夫链蒙特卡罗（MCMC）方法的简单易用的替代方案。

Bayesian Inference with INLA provides a description of INLA and its associated R package for model fitting. This book describes the underlying methodology as well as how to fit a wide range of models with R. Topics covered include generalized linear mixed-effects models, multilevel models, spatial and spatio-temporal models, smoothing methods ...

Bayesian Inference with INLA provides a description of INLA and its associated R package for model fitting. This book describes the underlying methodology as well as how to fit a wide range of models with R. Topics covered include generalized linear mixed-effects models, multilevel models, spatial and spatio-temporal models, smoothing methods ...

This book will focus on the integrated nested Laplace approximation (INLA, Havard Rue, Martino, and Chopin 2009) for approximate Bayesian inference. INLA is one of several recent …

2018年1月28日 · Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies.