Bayesian Inference with INLA
Edition: First edition
Publisher: Taylor & Francis Group
Published: 2020
Place of publication: Boca Raton, Florida, USA
Language: eng
Format: Hardcover
Number of pages: 330
ISBN-13: 9781138039872
Copyright date: ©2020
Description: This book will be helpful to researchers from different areas with some background in Bayesian inference that want to apply the INLA method in their work. The examples cover topics on biostatistics, econometrics, education, environmental science, epidemiology, public health, and the social sciences.
Notes: The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields models and exploits conditional independence properties in the model for computational speed.