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Titlebook: Discretization and MCMC Convergence Assessment; Christian P. Robert Book 1998 Springer Science+Business Media New York 1998 Latent variabl

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發(fā)表于 2025-3-23 10:53:43 | 只看該作者
A Holistic View of Sustainable Aviationirement that (1.2) is close enough to (1.1). It is thus necessary to develop diagnostic tools towards the latter goal, namely convergence control..While control is the topic of this book, we first present in this chapter some of the usual methods, before embarking upon the description of new control
12#
發(fā)表于 2025-3-23 16:45:06 | 只看該作者
A Holistic View of Sustainable Aviationr the former and Revuz, 1984, or Meyn and Tweedie, 1993, for the latter), a striking difference is the scale of the machinery needed to deal with continuous Markov chains and, as a corollary, the relative lack of intuitive basis behind theoretical results for continuous Markov chains. This gap is th
13#
發(fā)表于 2025-3-23 18:08:42 | 只看該作者
14#
發(fā)表于 2025-3-23 22:22:34 | 只看該作者
Ethics and Finance: The Unresolved Puzzle,oint out, other characteristics must be taken into account for evaluating control methods. An important criterion is the . diagnostics requiring problem-specific computer codes for their implementation (e.g., requiring knowledge of the transition kernel of the Markov chain) are far less usable for t
15#
發(fā)表于 2025-3-24 02:52:55 | 只看該作者
Hans Ruppert,Martin Kappas,Jens Ibendorfen from the alphabet.It turns out that there is an important heterogeneity within the genome.. Statistical models based on a complete homogeneity assumption are thus unrealistic. We propose a hidden Markov chain approach to identify homogeneous regions in the DNA sequence. The breakpoints which defi
16#
發(fā)表于 2025-3-24 07:23:59 | 只看該作者
17#
發(fā)表于 2025-3-24 13:25:03 | 只看該作者
Hans Ruppert,Martin Kappas,Jens Ibendorfl mixtures is rather limited. A possible reason, as illustrated in this chapter, is that the components of (8.1) are much more difficult to distinguish than in the normal case of §3.4. Exponential mixtures with a small number of components are nonetheless used in the modeling of phenomena with posit
18#
發(fā)表于 2025-3-24 18:32:50 | 只看該作者
https://doi.org/10.1007/978-1-4612-1716-9Latent variable model; Markov chain; Markov model; Variance; algorithms; renewal theory; statistics
19#
發(fā)表于 2025-3-24 22:35:49 | 只看該作者
20#
發(fā)表于 2025-3-24 23:25:40 | 只看該作者
Discretization and MCMC Convergence Assessment978-1-4612-1716-9Series ISSN 0930-0325 Series E-ISSN 2197-7186
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