连续行为序列下信用水平的更新和测度——从贝叶斯迭代到泊松过程

Updates and Measure of the Credit Level under the Behavior of Continuous Sequence——From Bayesian Iteration to Poisson Process

行为可以看作由一连串的欺骗和诚实行为构成。通过利用贝叶斯公式和迭代过程,在行为呼叫符合泊松过程情况下,分别建立和考察了经连续的欺骗、连续的诚实以及混合行为序列后,主体的信用水平的更新方程及信用水平的变化过程。在演绎的推理中,试图回答有关信用领域的"信用水平如何测度"?"诚实行为是否会使信用水平增加"?等一系列问题。在某种程度上,这为个体信用的评级提供一理论指导,同时既丰富了人文学科中测度科学的发展,又为信用变量的研究做一数理基础。

The behavior can be viewed as a series of acts containing fraud and honest. Through the use of bayes formula and the iterative process, in the case of call behavior obeying poisson process, update equation and the changes in the level of credit were established and investigated after continuous deception, honesty and continuous mixing behavior sequence, respectively, In the interpretation of the process, trying to answer questions about the field of credit, ＂How to measure the credit level＂？ ＂Honest behavior will increase the level of credit＂？ And other issues In part, this is a theoretical guidance for individual credit rating, not only enriched the humanities in the measure of scientific development, but also provided a mathematical foundation for the study of the credit variable.