Name: An Introduction to Bayesian Inference, Methods and Computation
Price: 74.39 EUR
Availability: InStock
Author: Heard, Nick
ISBN: 9783030828103

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An Introduction to Bayesian Inference, Methods and Computation

Type

Physical Book

Author

Nick Heard

Publisher

Springer

Language

English

Pages

169

Format

Paperback

Dimensions

23.4 x 15.6 x 1.0 cm

Weight

0.27 kg.

ISBN13

9783030828103

Synopsis "An Introduction to Bayesian Inference, Methods and Computation "

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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An Introduction to Bayesian Inference, Methods and Computation - Heard, Nick

Synopsis "An Introduction to Bayesian Inference, Methods and Computation "

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