配偶
发表于 2025-3-23 11:43:29
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Resistance
发表于 2025-3-23 14:53:55
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TRAWL
发表于 2025-3-23 20:52:08
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中世纪
发表于 2025-3-23 23:28:52
Markov Chain Monte Carlo Methodspractical point of view limited to small dimensions up to at most 10. And there are lots of distributions that are even difficult to sample from in dimension three or four. A totally different approach is based on the fact that we always can easily construct a Markov chain that has the desired fixed
BOGUS
发表于 2025-3-24 03:33:16
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陶瓷
发表于 2025-3-24 06:42:35
Introductionible” of random variate generation. We can certainly say that random variate generation has become an accepted research area considered as a subarea of statistical computing and simulation methodology. Practically all text-books on discrete event simulation or Monte Carlo methods include at least on
衍生
发表于 2025-3-24 12:19:24
Transformed Density Rejection (TDR) has been published by Gilks and Wild (1992) under the name .. The use of a general transformation and the name . was suggested by Hörmann (1995). In this presentation we try to develop the idea such that the reader can also see the (in our opinion) “beautiful” mathematical background (Sects. 4.2–4.
思想流动
发表于 2025-3-24 16:15:59
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forestry
发表于 2025-3-24 22:35:22
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虚度
发表于 2025-3-25 00:15:33
Li-Shih Huang,Raj Khatri,Amjad Alhemaidor random vector generation. For many of these families the marginals are known as well. The monograph of Johnson (1987) is presenting this branch of multivariate simulation. You can also find many of these distributions in Devroye (1986a, Chap. XI).