Bayesian inference with INLA

Discover the power of Bayesian inference with "Bayesian Inference with INLA" by Virgilio Gómez-Rubio, published by Taylor & Francis Ltd in 2021. This comprehensive guide spans 332 pages, offering an insightful introduction to the Integrated Nested Laplace Approximation (INLA) methodology, a widely used technique for approximate Bayesian inference.

In this book, you will find practical guidance on fitting various models using R-INLA and R, making it an essential resource for both beginners and experienced practitioners. The content covers a diverse array of applications, including multilevel models, spatial models, and survival analysis, ensuring that readers can apply these concepts effectively in real-world scenarios.

Whether you are a statistician, data scientist, or researcher, "Bayesian Inference with INLA" is a must-have addition to your library, equipping you with the tools needed to master Bayesian methods in your work.