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| Title | Bayesian Inference : Parameter Estimation and Decisions |
| Author(s) | Harney, Hanns L |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. |
| Description | XIII, 263 p : online resource |
| Abstract Note | The book provides a generalization of Gaussian error intervals to situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-standing problem is solved here. The book is based on Bayes' theorem, symmetry and differential geometry. In addition to solutions of practical problems, the text provides an epistemic insight: The logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. However, no knowledge of quantum mechanics is required. The text, examples and exercises are written at an introductory level |
| ISBN,Price | 9783662060063 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. QUANTUM COMPUTERS
10. Quantum Information Technology, Spintronics
11. QUANTUM PHYSICS
12. SPINTRONICS
13. STATISTICAL PHYSICS
14. Statistical Theory and Methods
15. Statistics??
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| Item Type | eBook |
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Call# | Status | Issued To | Return Due On | Physical Location |
| I11266 |
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