On auxiliary variables and many-core architectures in computational statistics
<p>Emerging many-core computer architectures provide an incentive for computational methods to exhibit specific types of parallelism. Our ability to perform inference in Bayesian statistics is often dependent upon our ability to approximate expectations of functions of random variables, for wh...
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| Format: | Thesis |
| Idioma: | English |
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2011
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