Automating inference, learning, and design using probabilistic programming
<p>Imagine a world where computational simulations can be inverted as easily as running them forwards, where data can be used to refine models automatically, and where the only expertise one needs to carry out powerful statistical analysis is a basic proficiency in scientific coding. Creating...
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Format: | Thesis |
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2017
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