Basics and Trends in Sensitivity Analysis
theory and practice in r
$195.52
- Paperback
293 pages
- Release Date
29 November 2021
Summary
Unveiling Model Secrets: A Practical Guide to Sensitivity Analysis in R
This book offers a comprehensive exploration of global sensitivity analysis methods and algorithms, emphasizing their theoretical foundations and mathematical properties. Through a hands-on approach, readers will learn to apply these techniques using real-world case studies and numerous examples. The practical utility of each method is demonstrated with clear R code implementations.
Key topics co…
Book Details
| ISBN-13: | 9781611976687 |
|---|---|
| ISBN-10: | 1611976685 |
| Series: | Computational Science and Engineering |
| Author: | Fabrice Gamboa, Bertrand Iooss, Sébastien Da Veiga, Clémentine Prieur |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 293 |
| Release Date: | 29 November 2021 |
| Weight: | 650g |
About The Author
Fabrice Gamboa
Sébastien Da Veiga is a senior expert in Statistics and Optimization at Safran. His research interests include computer experiments modelling, sensitivity analysis, optimization problems, kernel methods, and random forests.
Fabrice Gamboa is currently a professor at Toulouse University. His research interests include asymptotic statistics, random matrices and large deviations, statistical modelling, and industrial applications.
Bertrand Iooss is a senior researcher at EDF R&D, leading a project on uncertainty quantification and machine learning techniques for nuclear engineering processes. His research interests include computer experiments modelling, sensitivity analysis, geostatistics, machine learning validation, and explainability.
Clémentine Prieur is a professor at University Grenoble Alpes. Her research interests include properties of dependent stochastic processes and modelling of spatio-temporal dependence.
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