bayesian probability decision method

基本解釋

Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
貝葉斯學(xué)習(xí)是一種基於已知的概率分佈和觀察到的數(shù)據(jù)進(jìn)行推理，做出最優(yōu)決策的概率手段。
Under the law of maximum shoddy probability, it will have more practical significance for the probabilistic analysis of degree of compaction to use decision analysis and Bayesian method.
在最大次品率準(zhǔn)則下，應(yīng)用了決策分析和貝葉斯方法，從而使本文的分析研究更具實(shí)際意義。