{"title":"聚合框架中种群树最大似然估计的一致性","authors":"Arindam RoyChoudhury","doi":"10.1016/j.jspi.2024.106172","DOIUrl":null,"url":null,"abstract":"<div><p>We present a proof of consistency of the maximum likelihood estimator (MLE) of population tree in a previously proposed coalescent model. As the model involves tree-topology as a parameter, the standard proof of consistency for continuous parameters does not directly apply. In addition to proving that a consistent sequence of MLE exists, we also prove that the overall MLE, computed by maximizing the likelihood over all tree-topologies, is also consistent. Thus, the MLE of tree-topology is consistent as well. The last result is important because local maxima occur in the likelihood of population trees, especially while maximizing the likelihood separately for each tree-topology. Even though MLE is known to be a dependable estimator under this model, our work proves its effectiveness with mathematical certainty.</p></div>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consistency of the maximum likelihood estimator of population tree in a coalescent framework\",\"authors\":\"Arindam RoyChoudhury\",\"doi\":\"10.1016/j.jspi.2024.106172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We present a proof of consistency of the maximum likelihood estimator (MLE) of population tree in a previously proposed coalescent model. As the model involves tree-topology as a parameter, the standard proof of consistency for continuous parameters does not directly apply. In addition to proving that a consistent sequence of MLE exists, we also prove that the overall MLE, computed by maximizing the likelihood over all tree-topologies, is also consistent. Thus, the MLE of tree-topology is consistent as well. The last result is important because local maxima occur in the likelihood of population trees, especially while maximizing the likelihood separately for each tree-topology. Even though MLE is known to be a dependable estimator under this model, our work proves its effectiveness with mathematical certainty.</p></div>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378375824000296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378375824000296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consistency of the maximum likelihood estimator of population tree in a coalescent framework
We present a proof of consistency of the maximum likelihood estimator (MLE) of population tree in a previously proposed coalescent model. As the model involves tree-topology as a parameter, the standard proof of consistency for continuous parameters does not directly apply. In addition to proving that a consistent sequence of MLE exists, we also prove that the overall MLE, computed by maximizing the likelihood over all tree-topologies, is also consistent. Thus, the MLE of tree-topology is consistent as well. The last result is important because local maxima occur in the likelihood of population trees, especially while maximizing the likelihood separately for each tree-topology. Even though MLE is known to be a dependable estimator under this model, our work proves its effectiveness with mathematical certainty.