Ephraim Nii Kpakpo Waller, Pamela Delali Adablah, Q. Kester
{"title":"马尔可夫链:预测经济变量","authors":"Ephraim Nii Kpakpo Waller, Pamela Delali Adablah, Q. Kester","doi":"10.1109/ICCMA.2019.00026","DOIUrl":null,"url":null,"abstract":"The Economy is affected by dynamic and unstable variables. Therefore, it is very necessary to recognize the variations of the economic variables in order to make better decisions in the future via forecasting. In our work, a Markov Chain model, which is a mathematical tool in the stochastic Process, to forecasting some vital economic variables in making a critical decision was engaged. We proposed a forecasting model, based on Markov chains.","PeriodicalId":413965,"journal":{"name":"2019 International Conference on Computing, Computational Modelling and Applications (ICCMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Markov Chain: Forecasting Economic Variables\",\"authors\":\"Ephraim Nii Kpakpo Waller, Pamela Delali Adablah, Q. Kester\",\"doi\":\"10.1109/ICCMA.2019.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Economy is affected by dynamic and unstable variables. Therefore, it is very necessary to recognize the variations of the economic variables in order to make better decisions in the future via forecasting. In our work, a Markov Chain model, which is a mathematical tool in the stochastic Process, to forecasting some vital economic variables in making a critical decision was engaged. We proposed a forecasting model, based on Markov chains.\",\"PeriodicalId\":413965,\"journal\":{\"name\":\"2019 International Conference on Computing, Computational Modelling and Applications (ICCMA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computing, Computational Modelling and Applications (ICCMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMA.2019.00026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computing, Computational Modelling and Applications (ICCMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMA.2019.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Economy is affected by dynamic and unstable variables. Therefore, it is very necessary to recognize the variations of the economic variables in order to make better decisions in the future via forecasting. In our work, a Markov Chain model, which is a mathematical tool in the stochastic Process, to forecasting some vital economic variables in making a critical decision was engaged. We proposed a forecasting model, based on Markov chains.