babble 发表于 2025-3-23 11:24:08
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Bayesian Analysis Using Conditionally Specified Models,tc. Much early Bayesian work was focussed on so-called conjugate priors. Such priors are convenient but lack flexibility for modeling informed prior belief. The classical scenario, in which most of the issues are already clearly visible, involves a sample from a normal distribution with unknown mean and variance.支柱 发表于 2025-3-23 18:05:33
https://doi.org/10.1007/b97592Statistica; Statistical Models; addition; boundary element method; development; distribution; equation; fun飞来飞去真休 发表于 2025-3-23 23:06:03
978-1-4757-7260-9Springer Science+Business Media New York 1999昏迷状态 发表于 2025-3-24 03:08:55
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https://doi.org/10.1007/978-3-642-01004-0 discrepancy between incompatible conditionals. In addition, they suggests alternative ways in which most nearly compatible distributions can be defined in incompatible cases. A related concept of ∈-compatibility arises naturally in the discussion of incompatible cases.察觉 发表于 2025-3-24 12:40:22
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https://doi.org/10.1007/978-3-642-16007-3els not fitting into the exponential family paradigm. No general theorem analogous to Theorem 4.1 is available and results are obtained on a case by case basis. The key tools are of course Theorems 1.3 and 1.4 which permit us to solve the functional equations characterizing many conditionally specif盘旋 发表于 2025-3-25 02:08:40
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