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A domain-specific embedded language for probabilistic programming

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dc.contributor Erwig, Martin
dc.contributor Burnett, Margaret
dc.contributor Quinn, Michael
dc.contributor Budd, Timothy
dc.contributor Bolte, John
dc.date 2005-12-19T16:31:45Z
dc.date 2005-12-19T16:31:45Z
dc.date 2005-12-12
dc.date 2005-12-19T16:31:45Z
dc.date.accessioned 2013-10-16T07:29:13Z
dc.date.available 2013-10-16T07:29:13Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/1957/696
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1957/696
dc.description Graduation date: 2006
dc.description Functional 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.language en_US
dc.subject DSEL
dc.subject Probabilistic
dc.subject Modeling
dc.subject Functional
dc.title A domain-specific embedded language for probabilistic programming
dc.type Thesis


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