Modeling and inverse problems in the presence of uncertainty
Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where u...
Main Authors: | , |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Boca Raton
CRC Press, Taylor and Francis
2014
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Series: | Monographs and research notes in mathematics
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 1. Introduction
- 2. Probability and statistics overview
- 3. Mathematical and statistical aspects of inverse problems
- 4. Model selection criteria
- 5. Estimation of probability measures using aggregate population data
- 6. Optimal design
- 7. Propagation of uncertainty in a continuous time dynamical system
- 8. A stochastic system and its corresponding deterministic system