Handbook of Uncertainty Quantification

Editors: Ghanem, Roger, Higdon, David, Owhadi, Houman (Eds.)

  • Shares cutting edge Uncertainty Quantification ideas with a wide audience
  • Overviews fundamental challenges, applications, and emerging results
  • Draws together the work of mathematicians, statisticians, and engineers
  • Opens the work of top international researchers through an accessible reference work
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About this Reference Work

The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.      

About the authors

Roger Ghanem is the Gordon S. Marshall Professor of Engineering at the University of Southern California where he holds joint appointments in the Departments of Civil & Environmental Engineering and Mechanical & Aerospace Engineering.

David Higdon is Scientists and Group Leader in Statistical Sciences at Los Alamos National Laboratories. He has developed statistical concepts and methodologies that are uniquely adapted to modeling and simulation and computationally intensive numerical models

Houman Owhadi is a Professor of Applied & Computational Mathematics and Control & Dynamical Systems at the California Institute of Technology.    

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Table of contents (58 chapters)

  • Introduction to Uncertainty Quantification

    Ghanem, Roger (et al.)

    Pages 3-6

  • Bayes Linear Emulation, History Matching, and Forecasting for Complex Computer Simulators

    Goldstein, Michael (et al.)

    Pages 9-32

  • Inference Given Summary Statistics

    Najm, Habib N. (et al.)

    Pages 33-67

  • Multi-response Approach to Improving Identifiability in Model Calibration

    Jiang, Zhen (et al.)

    Pages 69-127

  • Validation of Physical Models in the Presence of Uncertainty

    Moser, Robert D. (et al.)

    Pages 129-156

Buy this book

eReference $1,200.00
price for USA (gross)
  • ISBN 978-3-319-12385-1
  • Free shipping for individuals worldwide
Print $1,200.00
price for USA
  • ISBN 978-3-319-12384-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Print + eBook $1,800.00
price for USA
  • ISBN 978-3-319-12386-8
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Uncertainty Quantification
Editors
  • Roger Ghanem
  • David Higdon
  • Houman Owhadi
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eReference ISBN
978-3-319-12385-1
Print ISBN
978-3-319-12384-4
Print + eBook ISBN
978-3-319-12386-8
Edition Number
1
Number of Pages
XXV, 2053
Number of Illustrations and Tables
96 b/w illustrations, 424 illustrations in colour
Topics