Basics and Trends in Sensitivity Analysis, 9781611976687
Paperback
Unlock model secrets: Sensitivity analysis theory, practice, and R code.

Basics and Trends in Sensitivity Analysis

Theory and Practice in R

$202.08

  • Paperback

    293 pages

  • Release Date

    29 November 2021

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Summary

This book provides an overview of global sensitivity analysis methods and algorithms, including their theoretical basis and mathematical properties. The authors use a practical point of view and real case studies as well as numerous examples, and applications of the different approaches are illustrated throughout using R code to explain their usage and usefulness in practice.

Basics and Trends in Sensitivity Analysis: Theory and Practice in R covers a lot of material,…

Book Details

ISBN-13:9781611976687
ISBN-10:1611976685
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
Series:Computational Science and Engineering
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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