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An Introduction to Bayesian Inference, Methods and Computation (Paperback, 1st ed. 2021)
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An Introduction to Bayesian Inference, Methods and Computation (Paperback, 1st ed. 2021)
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These lecture notes provide a rapid, accessible introduction to
Bayesian statistical methods. 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. These
advanced modelling techniques can easily be applied using computer
code samples written in Python and Stan which are integrated into
the main text. Importantly, the reader will learn methods for
assessing model fit, and to choose between rival modelling
approaches.
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