Graduate Thesis Or Dissertation

 

A domain-specific embedded language for probabilistic programming Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/2n49t460f

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  • 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.
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  • description.provenance : Submitted by Steven Kollmansberger (kollmans@onid.orst.edu) on 2005-12-13T22:53:15Z No. of bitstreams: 1 mythesis.pdf: 400402 bytes, checksum: 070dacb88cbe8a0da236b07ad3fa03a4 (MD5)
  • description.provenance : Made available in DSpace on 2005-12-19T16:31:45Z (GMT). No. of bitstreams: 1 mythesis.pdf: 400402 bytes, checksum: 070dacb88cbe8a0da236b07ad3fa03a4 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2005-12-16T19:56:28Z (GMT) No. of bitstreams: 1 mythesis.pdf: 400402 bytes, checksum: 070dacb88cbe8a0da236b07ad3fa03a4 (MD5)

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