Uncertainty Quantification with R Uncertainty Quantification with R
International Series in Operations Research & Management Science

Uncertainty Quantification with R

Bayesian Methods

    • € 119,99
    • € 119,99

Beschrijving uitgever

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.

GENRE
Zaken en persoonlijke financiën
UITGEGEVEN
2024
6 mei
TAAL
EN
Engels
LENGTE
494
Pagina's
UITGEVER
Springer Nature Switzerland
GROOTTE
110,3
MB

Meer boeken van Eduardo Souza de Cursi

Uncertainty Quantification using R Uncertainty Quantification using R
2023
Uncertainty Quantification and Stochastic Modelling with EXCEL Uncertainty Quantification and Stochastic Modelling with EXCEL
2022
Variational Methods for Engineers with Matlab Variational Methods for Engineers with Matlab
2015
Modeling and Convexity Modeling and Convexity
2013

Andere boeken in deze serie

Hidden Markov Models in Finance Hidden Markov Models in Finance
2014
Measuring Time Measuring Time
2009
Behavioral Decision Analysis Behavioral Decision Analysis
2024
Assessing Policy Effectiveness using AI and Language Models Assessing Policy Effectiveness using AI and Language Models
2024
Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy
2024
Markov Decision Processes and Stochastic Positional Games Markov Decision Processes and Stochastic Positional Games
2024