Uncertainty Quantification and Model Calibration

Hessling, Jan Peter

Uncertainty Quantification and Model Calibration

Edited by Jan Peter Hessling

Abstract: Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.

JEL-codes: C10 (search for similar items in EconPapers)
Date: 2017
ISBN: 978-953-51-3279-0
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/books/4532 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

An Improved Wavelet-Based Multivariable Fault Detection Scheme: Fouzi Harrou, Ying Sun and Muddu Madakyaru
Bayesian Uncertainty Quantification for Functional Response: Chunlin Ji, Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng and Ruopeng Liu
Epistemic Uncertainty Quantification of Seismic Damage Assessment: Hesheng Tang, Dawei Li and Songtao Xue
Fitting Models to Data: Residual Analysis, a Primer: Julia Martin, David Daffos Ruiz De Adana, Alberto Romero Gracia and Agustin G. Asuero
Introductory Chapter: Challenges of Uncertainty Quantification: Jan Peter Hessling
Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation: Shuxing Yang, Fenfen Xiong and Fenggang Wang
Practical Considerations on Indirect Calibration in Analytical Chemistry: A. Gustavo Gonzalez
State-of-the-Art Nonprobabilistic Finite Element Analyses: Lei Wang, Zhiping Qiu and Yuning Zheng
Uncertainty Quantification and Reduction of Molecular Dynamics Models: Xiaowang Zhou and Stephen M. Foiles

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:4532

DOI: 10.5772/65579

Access Statistics for this book

More books in Books from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().