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Titlebook: COMPSTAT 2008; Proceedings in Compu Paula Brito Conference proceedings 2008 Physica-Verlag Heidelberg 2008 ANOVA.Fitting.Graph.Latent varia

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21#
發(fā)表于 2025-3-25 05:53:12 | 只看該作者
22#
發(fā)表于 2025-3-25 07:32:01 | 只看該作者
Parameterization and Fitting of a Class of Discrete Graphical Modelserative gradient-based algorithm. We discuss a technique for determining fast approximate estimates, that can also be used for initializing the general algorithm and we present an illustration based on data from the U.S. General Social Survey.
23#
發(fā)表于 2025-3-25 15:17:55 | 只看該作者
https://doi.org/10.1007/978-1-349-07129-6s. Other methods are investigated in the hope that they may give better agreement with simulation evidence. They also suggest ways in which bootstrap procedures can be improved so as to yield more accurate inference.
24#
發(fā)表于 2025-3-25 16:51:12 | 只看該作者
Exploring the Bootstrap Discrepancys. Other methods are investigated in the hope that they may give better agreement with simulation evidence. They also suggest ways in which bootstrap procedures can be improved so as to yield more accurate inference.
25#
發(fā)表于 2025-3-25 23:11:24 | 只看該作者
26#
發(fā)表于 2025-3-26 02:44:43 | 只看該作者
27#
發(fā)表于 2025-3-26 04:39:28 | 只看該作者
28#
發(fā)表于 2025-3-26 11:30:50 | 只看該作者
29#
發(fā)表于 2025-3-26 16:40:06 | 只看該作者
National Management of International Economyimitations of R mean that applications developed there do not scale to the larger problems of interest in practice. We identify some of the limitations of the computational model of the R language that reduces its effectiveness for dealing with large data efficiently in the modern era..We propose de
30#
發(fā)表于 2025-3-26 18:26:58 | 只看該作者
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