Graduate Thesis Or Dissertation
 

A domain-specific embedded language for probabilistic programming

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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.
  • Keywords: Modeling, Functional, Probabilistic, DSEL
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