{"title":"基于直方图的密度估计的全局误差的渐近正态性","authors":"L. Gyorfi","doi":"10.1109/WITS.1994.513874","DOIUrl":null,"url":null,"abstract":"The paper considers a sequence of i.i.d. real valued random variables with common unknown density and examines the histogram estimate. It addresses the problem of estimating an unknown probability density function in information divergence.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"263 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The asymptotic normality of global errors for a histogram based density estimate\",\"authors\":\"L. Gyorfi\",\"doi\":\"10.1109/WITS.1994.513874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers a sequence of i.i.d. real valued random variables with common unknown density and examines the histogram estimate. It addresses the problem of estimating an unknown probability density function in information divergence.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"263 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.1994.513874\",\"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 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The asymptotic normality of global errors for a histogram based density estimate
The paper considers a sequence of i.i.d. real valued random variables with common unknown density and examines the histogram estimate. It addresses the problem of estimating an unknown probability density function in information divergence.