Vai al contenuto principale della pagina

Uncertainty Quantification with R : Bayesian Methods / / by Eduardo Souza de Cursi



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Cursi Eduardo Souza de Visualizza persona
Titolo: Uncertainty Quantification with R : Bayesian Methods / / by Eduardo Souza de Cursi Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (493 pages)
Disciplina: 519.544
Soggetto topico: Operations research
Production management
Probabilities
Mathematical optimization
Statistics
Operations Research and Decision Theory
Operations Management
Applied Probability
Discrete Optimization
Bayesian Inference
Nota di contenuto: Introduction- 1 -- Basic Bayesian Probabilities-2 -- Beliefs-3 -- Information and Entropy-4 -- Maximum of Entropy-5 -- Bayesian Inference-6 -- Sequential Bayesian Estimation.
Sommario/riassunto: 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.
Titolo autorizzato: Uncertainty Quantification with R  Visualizza cluster
ISBN: 9783031482083
3031482085
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910855386803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: International Series in Operations Research & Management Science, . 2214-7934 ; ; 352