相持不下
发表于 2025-3-21 16:53:47
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茁壮成长
发表于 2025-3-22 00:15:35
978-3-540-60116-6Springer-Verlag Berlin Heidelberg 1995
hypnotic
发表于 2025-3-22 02:03:02
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Brochure
发表于 2025-3-22 05:30:06
Fundamental Theories of Physicsd probability and non probability models, according to the fact they are based on probability theory or not. The first group concerns the upper and lower probability models, the second the possibility theory and the transferable belief model.
monogamy
发表于 2025-3-22 09:24:05
Introduction to Electrical Relaxationtegral, belief measures can be extended to be coherent lower previsions on the linear space consisting of all bounded functions. As a special case, we establish that all belief measures are coherent imprecise probabilities.
佛刊
发表于 2025-3-22 15:30:31
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Additive
发表于 2025-3-22 20:55:18
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Middle-Ear
发表于 2025-3-22 23:40:05
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inclusive
发表于 2025-3-23 02:06:17
An Introduction to Nested Samplingl probability bounds defined on . is considered. Following the approach of de Finetti we define the concept of coherence for the given set of bounds. Then, some results on the probabilistic consistency of the knowledge base are obtained. Finally, an algorithm to check the coherence of the set of bounds is described and some examples are examined.
嘲弄
发表于 2025-3-23 07:56:23
https://doi.org/10.1007/978-3-662-06261-6ciences . Both types of models involve directed acyclic graphs with variables as nodes, and in both cases there is much mysterious talk about causal interpretation. This paper uses probability trees to give precise conditions under which Bayes nets can be said to have a causal interpretation. Pro