贝叶斯预测模型在矿物含量预测中的应用

矿物含量预测是资源评价中经常遇到的问题，贝叶斯预测模型是运用贝叶斯统计方法进行的一种预测。贝叶斯统计不同于一般的统计方法，其不仅利用模型信息和数据信息，而且充分利用先验信息。根据贝叶斯预测模型的特点，介绍了几个贝叶斯观测模型的预测过程和计算步骤，并对白鹿塬水家嘴剖面的mg^2 含量进行了观测，根据计算结果，分析了不同贝叶斯预测模型的预测特点，并给出了几点结论。

The application of bayes'''' prodection model in the prediction of mineral content

Predication of mineral content is common in resource evaluation. Bayes' predication model is a method based on Bayes statistics. Bayes statistics is different from generic statistical method, not only the model information and data information,but also transcendental information is used adequately. According to the characters of Bayes' predication model, the predication process and calculating steps of several Bayes' predication models are introduced and the content of mg2+ inin Bailuyuan Shuijiazui section is predicted. Based on the calculating results,the preidca-tion characters of different Bayes' predication model are analysised and some conclusions are given.