Guoliang Cai, Weiqing Xu, Wenli Zhang, Peipei Wang
{"title":"E-Bayes方法在股票预测中的应用","authors":"Guoliang Cai, Weiqing Xu, Wenli Zhang, Peipei Wang","doi":"10.1109/ICIC.2011.40","DOIUrl":null,"url":null,"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.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Application of E-Bayes Method in Stock Forecast\",\"authors\":\"Guoliang Cai, Weiqing Xu, Wenli Zhang, Peipei Wang\",\"doi\":\"10.1109/ICIC.2011.40\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":6397,\"journal\":{\"name\":\"2011 Fourth International Conference on Information and Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2011.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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