Titlebook: Uncertainty Quantification with R; Bayesian Methods Eduardo Souza de Cursi Book 2024 The Editor(s) (if applicable) and The Author(s), under

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Bayesian Inference,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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Sequential Bayesian Estimation,ng, Particle Filtering, and Bayesian Optimization. The use of UQ for the determination of the distribution of the noise is presented. Programs in R implement all the topics introduced, with examples of use.

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