{"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}
引用次数: 2
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.<>