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...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor: Lee, A
Kolejni autorzy: Holmes, C
Format: Praca dyplomowa
Język:English
Wydane: 2011
Hasła przedmiotowe: