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Uncertainty Quantification with R

Uncertainty Quantification with R

von Eduardo Souza De Cursi
Hardcover - 9783031482076
160,49 €
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Softcover - 9783031482106
160,49 €

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Weitere Formate

Softcover - 9783031482106
160,49 €

Beschreibung

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.

The list of topics covered in this volume includes basic Bayesian probabilities, entropy, Bayesian estimation and decision, sequential Bayesian estimation, and numerical methods. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of Bayesian uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.

Bayesian Methods

Bayesian Methods

Details

Verlag Springer International Publishing
Ersterscheinung 07. Mai 2024
Maße 23.5 cm x 15.5 cm
Gewicht 904 Gramm
Format Hardcover
ISBN-13 9783031482076
Seiten 486

Schlagwörter

Applied Probability, Bayesian Inference, Bayesianische Inferenz, Discrete Optimization, Management spezifischer Bereiche, Management: Entscheidungstheorie, Operations Management, Operations Research and Decision Theory, Optimierung, Stochastik, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik

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