{"title":"基于高阶统计量的马尔可夫链逆问题首次通过时间矩估计","authors":"Shi Yu, Zhang Xianda","doi":"10.1109/ICOSP.1998.770244","DOIUrl":null,"url":null,"abstract":"This paper presents a statistical approach for estimating the moments by using higher-order cumulants when the additive noise is Gaussian colored noise. It is shown that the kth-order moments of the noise samples are only related to the variance of the noise and that the estimators have the properties of unbiasedness and congruence. A numerical simulation is performed for constructing a Markov chain of continuous time parameters. The results show the validity of this algorithm.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Higher-order statistics-based estimation of moments of first passage time for Markov chains in its reverse problem\",\"authors\":\"Shi Yu, Zhang Xianda\",\"doi\":\"10.1109/ICOSP.1998.770244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a statistical approach for estimating the moments by using higher-order cumulants when the additive noise is Gaussian colored noise. It is shown that the kth-order moments of the noise samples are only related to the variance of the noise and that the estimators have the properties of unbiasedness and congruence. A numerical simulation is performed for constructing a Markov chain of continuous time parameters. The results show the validity of this algorithm.\",\"PeriodicalId\":145700,\"journal\":{\"name\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.1998.770244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Higher-order statistics-based estimation of moments of first passage time for Markov chains in its reverse problem
This paper presents a statistical approach for estimating the moments by using higher-order cumulants when the additive noise is Gaussian colored noise. It is shown that the kth-order moments of the noise samples are only related to the variance of the noise and that the estimators have the properties of unbiasedness and congruence. A numerical simulation is performed for constructing a Markov chain of continuous time parameters. The results show the validity of this algorithm.