Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1957/696
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dc.contributorErwig, Martin-
dc.contributorBurnett, Margaret-
dc.contributorQuinn, Michael-
dc.contributorBudd, Timothy-
dc.contributorBolte, John-
dc.date2005-12-19T16:31:45Z-
dc.date2005-12-19T16:31:45Z-
dc.date2005-12-12-
dc.date2005-12-19T16:31:45Z-
dc.date.accessioned2013-10-16T07:29:13Z-
dc.date.available2013-10-16T07:29:13Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/1957/696-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1957/696-
dc.descriptionGraduation date: 2006-
dc.descriptionFunctional programming is concerned with referential transparency, that is, given a certain function and its parameter, that the result will always be the same. However, it seems that this is violated in applications involving uncertainty, such as rolling a dice. This thesis defines the background of probabilistic programming and domain-specific languages, and builds on these ideas to construct a domain-specific embedded language (DSEL) for probabilistic programming in a purely functional language. This DSEL is then applied in a real-world setting to develop an application in use by the Center for Gene Research at Oregon State University. The process and results of this development are discussed.-
dc.languageen_US-
dc.subjectDSEL-
dc.subjectProbabilistic-
dc.subjectModeling-
dc.subjectFunctional-
dc.titleA domain-specific embedded language for probabilistic programming-
dc.typeThesis-
Appears in Collections:ScholarsArchive@OSU

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