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Uncertainty Quantification with R: Bayesian Methods
Hardcover
Series: International Operations Research & Management Science, Book 352
Business GeneralProbability & Statistics
ISBN13: 9783031482076
Publisher: Springer
Published: May 7 2024
Pages: 486
Weight: 1.91
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English
This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of Bayesian uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems.
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