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portada An Introduction to Bayesian Inference, Methods and Computation
Type
Physical Book
Author
Publisher
Language
English
Pages
169
Format
Paperback
Dimensions
23.4x15.6x1 cm
Weight
0.27 kg.
ISBN13
9783030828103
Categories

An Introduction to Bayesian Inference, Methods and Computation

Nick Heard (Author) · Springer · Paperback

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

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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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