Uncertainty quantification with R: (Record no. 8380)

MARC details
000 -LEADER
fixed length control field 02383nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250112170936.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250109b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031482076
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.434
Item number CUR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Cursi, Eduardo Souza de
245 ## - TITLE STATEMENT
Title Uncertainty quantification with R:
Remainder of title bayesian methods
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Cham
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent viii, 486 p.
365 ## - TRADE PRICE
Price type code EUR
Price amount 139.99
490 ## - SERIES STATEMENT
Series statement International Series in Operations Research & Management Science vol. 352
500 ## - GENERAL NOTE
General note Table of content:<br/>Basic Bayesian Probabilities<br/>Eduardo Souza de Cursi<br/>Pages 1-131<br/>Beliefs<br/>Eduardo Souza de Cursi<br/>Pages 133-201<br/>Information and Entropy<br/>Eduardo Souza de Cursi<br/>Pages 203-264<br/>Maximum Entropy<br/>Eduardo Souza de Cursi<br/>Pages 265-320<br/>Bayesian Inference<br/>Eduardo Souza de Cursi<br/>Pages 321-412<br/>Sequential Bayesian Estimation<br/>Eduardo Souza de Cursi<br/>Pages 413-480<br/>Back Matter<br/>Pages 481-486<br/>[https://link.springer.com/book/10.1007/978-3-031-48208-3]
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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.<br/>(https://link.springer.com/book/10.1007/978-3-031-48208-3)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R--Computer program language
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data visualization
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences COR/IN/25/8312 19-12-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/12/2025 CBS Publishers & Distributors Pvt. Ltd. 8653.48   001.434 CUR 007134 01/12/2025 1 13313.05 01/12/2025 Book

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