Application of a Bayesian Approach to Data Adjustment to Microscopic Nuclear Data Evaluation

The feasibility of application of a Bayesian approach to adjustment of microscopic nuclear data evaluation is discussed. Examples for single-parameter, multiparameter, and self-consistent multiparameter evaluation are given. It is demonstrated that various conventional methods of data evaluation can all be unified in the scheme of the Bayesian method.