{"title":"任意抽样下k/sub n/最近邻估计的一致性和收敛速度","authors":"S. Posner, S. R. Kulkarni","doi":"10.1109/WITS.1994.513901","DOIUrl":null,"url":null,"abstract":"Consistency and rates of convergence of the k/sub n/-NN estimator are established in the general case in which samples are chosen arbitrarily from a compact metric space.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consistency and rates of convergence of k/sub n/ nearest neighbor estimation under arbitrary sampling\",\"authors\":\"S. Posner, S. R. Kulkarni\",\"doi\":\"10.1109/WITS.1994.513901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consistency and rates of convergence of the k/sub n/-NN estimator are established in the general case in which samples are chosen arbitrarily from a compact metric space.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"2 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.1994.513901\",\"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.1994.513901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consistency and rates of convergence of k/sub n/ nearest neighbor estimation under arbitrary sampling
Consistency and rates of convergence of the k/sub n/-NN estimator are established in the general case in which samples are chosen arbitrarily from a compact metric space.