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Introduction to Bayesian Inference, Methods and Computation

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Introduction to Bayesian Inference, Methods and Computation Nick Heard
Libristo code: 41014871
Publishers Springer, October 2021
These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The co... Full description
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80.71 €
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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
Binding E-book - Adobe ePub DRM
Date of issue 2021
EAN 9783030828080
Libristo code 41014871
Publishers Springer

Categories

Mathematics & Science > Mathematics > Probability & statistics > Bayesian inference
Computing & Information Technology > Business applications > Mathematical & statistical software
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