竖琴
发表于 2025-3-26 23:41:00
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Curmudgeon
发表于 2025-3-27 01:24:08
Textbook 20071st editions in all ?elds, given the versatility of the Bayesian tools. It can also be used for a more classical statistics audience when aimed at teaching a quick entry to Bayesian statistics at the end of an undergraduate program for instance. (Obviously, it can supplement another textbook on data analysis a
咯咯笑
发表于 2025-3-27 05:30:53
Svetoslav Danchev,Grigoris Pavlou concept of “variable dimension models,” where the structure (dimension) of the model is determined a posteriori using the data. This opens new perspectives for Bayesian inference such as model averaging but calls for a special simulation algorithm called reversible jump MCMC.
poliosis
发表于 2025-3-27 10:11:17
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经典
发表于 2025-3-27 16:38:04
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旁观者
发表于 2025-3-27 21:12:15
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MAUVE
发表于 2025-3-28 01:39:35
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围巾
发表于 2025-3-28 03:00:22
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Flounder
发表于 2025-3-28 09:39:39
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津贴
发表于 2025-3-28 13:18:42
Mixture Models,known distributions. This representation is naturally called a mixture of distributions. Inference about the parameters of the elements of the mixtures and the weights is called mixture estimation, while recovery of the original distribution of each observation is called classification (or, more exa