Open access peer-reviewed Edited Volume

Uncertainty Quantification and Model Calibration

Edited by Jan Peter Hessling

Independent scientist

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.

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Uncertainty Quantification and Model CalibrationEdited by Jan Peter Hessling

Published: July 5th 2017

DOI: 10.5772/65579

ISBN: 978-953-51-3280-6

Print ISBN: 978-953-51-3279-0

eBook (PDF) ISBN: 978-953-51-4754-1

Copyright year: 2017

Books open for chapter submissions

14950 Total Chapter Downloads

15 Crossref Citations

8 Web of Science Citations

28 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Challenges of Uncertainty Quantification

By Jan Peter Hessling

1485

Open access peer-reviewed

2. Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation

By Shuxing Yang, Fenfen Xiong and Fenggang Wang

2637

Open access peer-reviewed

3. State‐of‐the‐Art Nonprobabilistic Finite Element Analyses

By Wang Lei, Qiu Zhiping and Zheng Yuning

1468

Open access peer-reviewed

4. Epistemic Uncertainty Quantification of Seismic Damage Assessment

By Hesheng Tang, Dawei Li and Songtao Xue

1355

Open access peer-reviewed

5. Uncertainty Quantification and Reduction of Molecular Dynamics Models

By Xiaowang Zhou and Stephen M. Foiles

1282

Open access peer-reviewed

6. Bayesian Uncertainty Quantification for Functional Response

By Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng, Ruopeng Liu and Chunlin Ji

1455

Open access peer-reviewed

7. Fitting Models to Data: Residual Analysis, a Primer

By Julia Martin, David Daffos Ruiz de Adana and Agustin G. Asuero

2268

Open access peer-reviewed

8. An Improved Wavelet‐Based Multivariable Fault Detection Scheme

By Fouzi Harrou, Ying Sun and Muddu Madakyaru

1396

Open access peer-reviewed

9. Practical Considerations on Indirect Calibration in Analytical Chemistry

By Antonio Gustavo González

1609

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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