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Springer An Introduction to Bayesian Inference, Methods and Computation

Name: An Introduction to Bayesian Inference, Methods and Computation
Brand: Springer

Databases

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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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Brand: Springer
Format: hardcover
ASIN: 3030828077
Category: Books > Subjects > Computing & Internet > Databases
Domain: Amazon UK
Release Date: 18 October 2021
Listed Since: 26 June 2021

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Springer An Introduction to Bayesian Inference, Methods and Computation

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