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Statistical and Computational Inverse Problems
Develops the statistical approach to inverse problems with an emphasis on modeling and computations. The book discusses the measurement noise modeling and Bayesian estimation, and uses Markov Chain Monte Carlo methods to explore the probability distributions. It is for researchers and advanced stude...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2005
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/b138659 http://cds.cern.ch/record/1338003 |
| Sumario: | Develops the statistical approach to inverse problems with an emphasis on modeling and computations. The book discusses the measurement noise modeling and Bayesian estimation, and uses Markov Chain Monte Carlo methods to explore the probability distributions. It is for researchers and advanced students in applied mathematics. |
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