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Titlebook: Bayes Theory; J. A. Hartigan Book 1983 Springer-Verlag New York Inc. 1983 Bayessches Verfahren.Finite.Logic.boundary element method.condit

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樓主: intensify
21#
發(fā)表于 2025-3-25 04:32:23 | 只看該作者
22#
發(fā)表于 2025-3-25 09:40:20 | 只看該作者
Conditional Probability,Kolmogorov’s exquisite formalization of conditional probability in the unitary case (1933) does not readily generalize to non-unitary probabilities. Stone and Dawid (1972) show one type of difficulty with their marginalization paradoxes for improper priors.
23#
發(fā)表于 2025-3-25 14:40:33 | 只看該作者
Making Probabilities,The essence of Bayes theory is giving probability values to bets. Methods of generating such probabilities are what separate the various theories.
24#
發(fā)表于 2025-3-25 16:32:34 | 只看該作者
Exponential Families,Let . be a probability on ., and choose a unitary probability . on . to minimize the information .(log(.)) subject to ....., . 1,..., .. The optimal probability . has density
25#
發(fā)表于 2025-3-25 23:05:15 | 只看該作者
Many Normal Means,Given X, suppose ., and the .. are independent. The straight estimate .. of .. is least squares, maximum likelihood, of minimum variance among unbiased estimators, posterior means with respect to the Jeffreys density (the ..,..., .. are uniform) but for all these virtues inadmissible with loss function .for . > 2, Stein (1956).
26#
發(fā)表于 2025-3-26 01:06:27 | 只看該作者
27#
發(fā)表于 2025-3-26 07:10:12 | 只看該作者
28#
發(fā)表于 2025-3-26 10:28:43 | 只看該作者
Springer Series in Statisticshttp://image.papertrans.cn/b/image/181817.jpg
29#
發(fā)表于 2025-3-26 12:39:42 | 只看該作者
30#
發(fā)表于 2025-3-26 20:34:52 | 只看該作者
Ana Ferreira,Lynne Coventry,Gabriele LenziniFor example, if we assume that a penny has probability 1/2 of coming down heads on each toss, and that the different tosses are independent, it follows that the limiting proportion of heads will be 1/2 almost surely.
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