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An Introduction To Bayesian Inference Methods And Computation 1st Ed 2021 Nick Heard

SKU: BELL-35169740

$ 31.00 ~~$ 45.00~~ (-31%)

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An Introduction To Bayesian Inference Methods And Computation 1st Ed 2021 Nick Heard instant download after payment.

Publisher: Springer Nature

File Extension: PDF

File size: 12.96 MB

Pages: 177

Author: Nick Heard

ISBN: 9783030828073, 9783030828080, 3030828077, 3030828085

Language: English

Year: 2021

Edition: 1st ed. 2021

Product desciption

An Introduction To Bayesian Inference Methods And Computation 1st Ed 2021 Nick Heard by Nick Heard 9783030828073, 9783030828080, 3030828077, 3030828085 instant download after payment.

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.