{"title":"概率密度计算器的推导(功能珍珠)","authors":"W. Ismail, Chung-chieh Shan","doi":"10.1145/2951913.2951922","DOIUrl":null,"url":null,"abstract":"Given an expression that denotes a probability distribution, often we want a corresponding density function, to use in probabilistic inference. Fortunately, the task of finding a density has been automated. It turns out that we can derive a compositional procedure for finding a density, by equational reasoning about integrals, starting with the mathematical specification of what a density is. Moreover, the density found can be run as an estimation algorithm, as well as simplified as an exact formula to improve the estimate.","PeriodicalId":336660,"journal":{"name":"Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Deriving a probability density calculator (functional pearl)\",\"authors\":\"W. Ismail, Chung-chieh Shan\",\"doi\":\"10.1145/2951913.2951922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given an expression that denotes a probability distribution, often we want a corresponding density function, to use in probabilistic inference. Fortunately, the task of finding a density has been automated. It turns out that we can derive a compositional procedure for finding a density, by equational reasoning about integrals, starting with the mathematical specification of what a density is. Moreover, the density found can be run as an estimation algorithm, as well as simplified as an exact formula to improve the estimate.\",\"PeriodicalId\":336660,\"journal\":{\"name\":\"Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2951913.2951922\",\"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 the 21st ACM SIGPLAN International Conference on Functional Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2951913.2951922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deriving a probability density calculator (functional pearl)
Given an expression that denotes a probability distribution, often we want a corresponding density function, to use in probabilistic inference. Fortunately, the task of finding a density has been automated. It turns out that we can derive a compositional procedure for finding a density, by equational reasoning about integrals, starting with the mathematical specification of what a density is. Moreover, the density found can be run as an estimation algorithm, as well as simplified as an exact formula to improve the estimate.