The Hamming Ball Sampler
We introduce the Hamming ball sampler, a novel Markov chain Monte Carlo algorithm, for efficient inference in statistical models involving high-dimensional discrete state spaces. The sampling scheme uses an auxiliary variable construction that adaptively truncates the model space allowing iterative...
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| Format: | Journal article |
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Taylor and Francis
2017
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