Bayesian Inference

Eduardo Souza de Cursi ()
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Eduardo Souza de Cursi: INSA Rouen Normandie

Chapter Chapter 5 in Uncertainty Quantification with R, 2024, pp 321-412 from Springer

Abstract: 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.

Date: 2024
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DOI: 10.1007/978-3-031-48208-3_5

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