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1996 (1)
1Author    Lars Hemmingsen, Steen HansenRequires 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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 TEI-XML for    default:Reihe_A/51/ZNA-1996-51a-0422.pdf 
 Identifier    ZNA-1996-51a-0422 
 Volume    51