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Introduction to Bayesian Inference, Methods and Computation
Language
English
English
E-book
Adobe ePub DRM
These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The co...
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Libristo code: 41014871
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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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About the book
Full name
Introduction to Bayesian Inference, Methods and Computation
Author
Nick Heard
Language
English
English
Binding
E-book - Adobe ePub DRM
Date of issue
2021
EAN
9783030828080
Libristo code
41014871
Publishers
Springer
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