An Introduction to Bayesian Inference, Methods and Computation

The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. 1 Paperback / softback 70 Illustrations, color; 12 Illustrations, black and white; XII, 169 p. 82 illus., 70 illus. in color.