Linear models are widely used in applications in physical science, engineering, social science and business. The world of R has expanded in the ten years that have passed since this text’s first editi
In this bold new study, Andrew J. Mason seeks both to shed light on the key issue of flux in Plato’s work, and to show that there is also in Plato a notion offlow that needs to be distinguished from f
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
