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2024 | OriginalPaper | Buchkapitel

5. Bayesian Inference

verfasst von : Eduardo Souza de Cursi

Erschienen in: Uncertainty Quantification with R

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Abstract

This chapter presents the Bayesian approach for practical tasks, such as estimation, hypothesis testing, model or variable selection, and regression. The choice of priors is analyzed, by using Jeffreys approach and uncertainty quantification techniques. The Expectation-Maximization Algorithm is presented in this chapter. Implementations in R are given for all the topics, with examples of use.

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Vorheriges Kapitel Maximum Entropy

Nächstes Kapitel Sequential Bayesian Estimation

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Titel: Bayesian Inference
verfasst von: Eduardo Souza de Cursi
Verlag: Springer Nature Switzerland
Buch: Uncertainty Quantification with R
Print ISBN: 978-3-031-48207-6

Electronic ISBN: 978-3-031-48208-3

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-48208-3_5

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