Trustworthy, Useful Languages for Probabilistic Modeling and Inference
The ideals of exact modeling, and of putting off approximations as long as possible, make Bayesian practice both successful and difficult. Languages for modeling probabilistic processes, whose implementations answer questions about them under asserted conditions, promise to ease much of the difficul...
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| Format: | Others |
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BYU ScholarsArchive
2014
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| Online Access: | https://scholarsarchive.byu.edu/etd/4098 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5097&context=etd |