{"title":"一种遍历平稳时间序列的非参数预测算法","authors":"S. Yakowitz, L. Gyorfi, G. Morvai","doi":"10.1109/ISIT.1994.395052","DOIUrl":null,"url":null,"abstract":"The authors discuss doubly infinite stationary ergodic time series and sequences. The pattern recognition problem is considered as is the classification problem. Probabilities of misclassification and Bayes methods are mentioned.<<ETX>>","PeriodicalId":331390,"journal":{"name":"Proceedings of 1994 IEEE International Symposium on Information Theory","volume":"31 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An algorithm for nonparametric forecasting for ergodic, stationary time series\",\"authors\":\"S. Yakowitz, L. Gyorfi, G. Morvai\",\"doi\":\"10.1109/ISIT.1994.395052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors discuss doubly infinite stationary ergodic time series and sequences. The pattern recognition problem is considered as is the classification problem. Probabilities of misclassification and Bayes methods are mentioned.<<ETX>>\",\"PeriodicalId\":331390,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"volume\":\"31 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.1994.395052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.1994.395052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for nonparametric forecasting for ergodic, stationary time series
The authors discuss doubly infinite stationary ergodic time series and sequences. The pattern recognition problem is considered as is the classification problem. Probabilities of misclassification and Bayes methods are mentioned.<>