Bayesian and Maximum Entropy Approach in Data Processing

摘要

The paper discusses the Bayesian Maximum Entropy Approach (Bayesian ME) used in data processing. It is mainly used to solve the probability density function (pdf) in this paper. The contrast has been given out between the Bayesian ME and traditional method. The conclusion has been obtained that the Bayesian ME can get a better estimation of the estimator, and we had better use the higher order of square to get the likelihood function when the specimens are enough.