{"title":"矩阵变量正态分布的低维和高维小波阈值","authors":"H. Karamikabir, A. Sanati, G. G. Hamedani","doi":"10.1080/03610918.2024.2326595","DOIUrl":null,"url":null,"abstract":"The matrix-variate normal distribution is a probability distribution that is a generalization of the multivariate normal distribution to matrix-valued random variables. In this paper, we introduce ...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":"283 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low and high dimensional wavelet thresholds for matrix-variate normal distribution\",\"authors\":\"H. Karamikabir, A. Sanati, G. G. Hamedani\",\"doi\":\"10.1080/03610918.2024.2326595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The matrix-variate normal distribution is a probability distribution that is a generalization of the multivariate normal distribution to matrix-valued random variables. In this paper, we introduce ...\",\"PeriodicalId\":55240,\"journal\":{\"name\":\"Communications in Statistics-Simulation and Computation\",\"volume\":\"283 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics-Simulation and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610918.2024.2326595\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics-Simulation and Computation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610918.2024.2326595","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Low and high dimensional wavelet thresholds for matrix-variate normal distribution
The matrix-variate normal distribution is a probability distribution that is a generalization of the multivariate normal distribution to matrix-valued random variables. In this paper, we introduce ...
期刊介绍:
The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.