Bayesian Method
  • Method description:
  • Edge probability (also known as prior probability) is the probability of an event. The edge probability is obtained by combining the unnecessary events in the final result into their total probability and eliminating them (sum the total probability for discrete random variables and integrate the total probability for continuous random variables). This is called marginalization. For example, the edge probability of a is expressed as P (a), and the edge probability of B is expressed as p (B).

    Installation: no installation required;

    QR code:



    • 安装方式:免安装

      运行方式:直接运行

      输入变量:气象驱动、参数先验分布范围

      输出变量:模型参数后验分布

      二维码: