Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much

    NIPS, pp. 1-9, 2016.

    Cited by: 8|Bibtex|Views22|Links
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    Abstract:

    Gibbs sampling is a Markov Chain Monte Carlo sampling technique that iteratively samples variables from their conditional distributions. There are two common scan orders for the variables: random scan and systematic scan. Due to the benefits of locality in hardware, systematic scan is commonly used, even though most statistical guarantees...More

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