继而发生
发表于 2025-3-25 05:03:25
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生气地
发表于 2025-3-25 08:44:22
Bayes and Poppernd therefore not to be countenanced. But while Bayesians evaluate hypotheses primarily in terms of their probability, their position rests on no obscure ‘principle of induction’, but on Bayes’ rule. For a Bayesian, ‘learning from experience’ can only mean modifying prior probabilities by conditional
隐藏
发表于 2025-3-25 15:19:37
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怕失去钱
发表于 2025-3-25 18:31:38
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Outwit
发表于 2025-3-25 20:26:34
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发牢骚
发表于 2025-3-26 00:29:02
Testingd sample coverage is an approximation to the average likelihood, and one that is often more convenient to use (or which can be used as a surrogate when the likelihood function cannot be computed). Moreover, the OSC has a clear and definite meaning as a measure of the improbability of a theory’s accu
个阿姨勾引你
发表于 2025-3-26 07:15:38
Bayes/Orthodox Comparisonsy, I treat the problem of identifying the degree of a polynomial and the order of a Markov chain. When we raise the degree of a polynomial or the order of a Markov chain, we improve the model’s accuracy at the cost of some simplicity. According to the Bayesian analysis of Chapter 5, there is a well-
Limousine
发表于 2025-3-26 11:12:32
Information theory was developed by communication theorists and engineers to solve problems whose connection with efficient experimentation is less than obvious. Yet, as we will see, the connections are there all right, and it is part of our task in this chapter to articulate them.
brother
发表于 2025-3-26 16:00:56
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Delirium
发表于 2025-3-26 18:08:01
Bayes/Orthodox Comparisonsputable in both cases. It is worth stressing that the Bayesian approach to such problems is unified: one compares average likelihoods. By contrast, orthodox statistics offers us a mixed bag of tricks with no single (or simple) underlying logic.