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(Ebook) An Introduction to Bayesian Inference, Methods and Computation by Nick Heard ISBN 9783030828073, 9783030828080, 3030828077, 3030828085

  • SKU: EBN-35169740
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Authors:Nick Heard
Pages:177 pages.
Year:2021
Editon:1st ed. 2021
Publisher:Springer Nature
Language:english
File Size:12.96 MB
Format:pdf
ISBNS:9783030828073, 9783030828080, 3030828077, 3030828085
Categories: Ebooks

Product desciption

(Ebook) An Introduction to Bayesian Inference, Methods and Computation by Nick Heard ISBN 9783030828073, 9783030828080, 3030828077, 3030828085

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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