Application of E-Bayes Method in Stock Forecast

Guoliang Cai, Weiqing Xu, Wenli Zhang, Peipei Wang
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引用次数: 7

Abstract

In this paper, case of E-Bayes method to forecast investment is given. Data are grouped, and the probability of samples that does not drop into the state is assumed. An increasing function to establish the forecast model for investment is constructed. Finally, calculations are carried out according to the practical problems, and result shows that the E-Bayes method is feasible and easy to operate.
E-Bayes方法在股票预测中的应用
本文给出了用E-Bayes方法进行投资预测的实例。将数据分组,并假设样本不落入该状态的概率。构造了投资预测模型的递增函数。最后,根据实际问题进行了计算,结果表明E-Bayes方法是可行且易于操作的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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