
R-INLA Project - Books
``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 …
Bayesian inference with INLA
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.
Bayesian inference with INLA - amazon.com
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 …
Preface | Bayesian inference with INLA
This book introduces the integrated nested Laplace approximation (INLA) for Bayesian inference and its associated R package R-INLA.
Spatial and Spatio-temporal Bayesian Models with 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. …
基于INLA的贝叶斯回归建模 (豆瓣)
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 …
Bayesian inference with INLA - Taylor & Francis
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 …
Bayesian inference with INLA - 1st Edition - Routledge
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 …
Chapter 1 Introduction to Bayesian Inference | Bayesian inference with INLA
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 …
Bayesian Regression Modeling with INLA
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 …