Graduation date: 2006 / 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.
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/696 |
| Date | 19 December 2005 |
| Creators | Kollmansberger, Steven |
| Contributors | Erwig, Martin, Burnett, Margaret, Quinn, Michael, Budd, Timothy, Bolte, John |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 400402 bytes, application/pdf |
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