| 1 | Author
| Lars Hemmingsen, Steen Hansen | Requires cookie* | | Title
| Bayes' Theorem Applied to the Selection of Models in PAC  | | | Abstract
| Using Bayes' formula, the parameters in a given model fitting data from perturbed angular correlation of y-rays (PAC) experiments are all integrated out, giving as the result the total proba-bility for the model. Experimental examples are given from PAC for models containing one and two nuclear quadrupole interactions, respectively. It is shown how the Bayesian formulation leads to a quantification of the probability of the correctness of the models. Furthermore, this method leads to a transparent and intuitively appealing criterion for model selection. Examples are given using PAC measurements on two proteins: liver alcohol dehydrogenase and azurin. | | |
Reference
| Z. Naturforsch. 51a, 422—426 (1996); received September 26 1995 | | |
Published
| 1996 | | |
Keywords
| PAC, Bayesian methods, model selection | | |
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| default:Reihe_A/51/ZNA-1996-51a-0422.pdf | | | Identifier
| ZNA-1996-51a-0422 | | | Volume
| 51 | |
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