| 書目名稱 | Uncertainty Quantification with R | | 副標題 | Bayesian Methods | | 編輯 | Eduardo Souza de Cursi | | 視頻video | http://file.papertrans.cn/942/941107/941107.mp4 | | 概述 | Presents Bayesian techniques for uncertainty quantification.Uses R to solve complex, multivariate problems.Emphasizes practical applications of uncertainty quantification techniques for management and | | 叢書名稱 | International Series in Operations Research & Management Science | | 圖書封面 |  | | 描述 | .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 a | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | uncertainty quantification; Bayesian estimation; R software; Bayesian methods; Bayesian Monte Carlo; MCMC | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-48208-3 | | isbn_softcover | 978-3-031-48210-6 | | isbn_ebook | 978-3-031-48208-3Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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