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- W77967498 abstract "The previous chapter presented the slice sampler, a special case of a Markov chain algorithm that did not need an Accept–Reject step to be valid, seemingly because of the uniformity of the target distribution. The reason why the slice sampler works is, however, unrelated to this uniformity and we will see in this chapter a much more general family of algorithms that function on the same principle. This principle is that of using the true conditional distributions associated with the target distribution to generate from that distribution." @default.
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- W77967498 date "2004-01-01" @default.
- W77967498 modified "2023-10-02" @default.
- W77967498 title "The Two-Stage Gibbs Sampler" @default.
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- W77967498 doi "https://doi.org/10.1007/978-1-4757-4145-2_9" @default.
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