{"title":"优先选择:回顾","authors":"Gholamhossein Gholami, A. Etemadi","doi":"10.14196/SJR.V3I8.1515","DOIUrl":null,"url":null,"abstract":"The prior distribution is the key to Bayesian inference and its determination is therefore the mostimportant step in drawing this inference. To some extent, it is also the most dicult. In this paper,we'll review dierent approaches of choosing prior distribution.","PeriodicalId":21707,"journal":{"name":"Scientific Journal of Review","volume":"7 1","pages":"916-925"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prior Selection: A Review\",\"authors\":\"Gholamhossein Gholami, A. Etemadi\",\"doi\":\"10.14196/SJR.V3I8.1515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The prior distribution is the key to Bayesian inference and its determination is therefore the mostimportant step in drawing this inference. To some extent, it is also the most dicult. In this paper,we'll review dierent approaches of choosing prior distribution.\",\"PeriodicalId\":21707,\"journal\":{\"name\":\"Scientific Journal of Review\",\"volume\":\"7 1\",\"pages\":\"916-925\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Journal of Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14196/SJR.V3I8.1515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Journal of Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14196/SJR.V3I8.1515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The prior distribution is the key to Bayesian inference and its determination is therefore the mostimportant step in drawing this inference. To some extent, it is also the most dicult. In this paper,we'll review dierent approaches of choosing prior distribution.
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