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关于 Pistimetric 推断的若干札记AI 解读

SUMMARY The Pistimetric method, in which the probability distribution of parameters is determined by means of a pivotal quantity as soon as the number of observations permit, and posterior probability distributions are subsequently deduced by Bayes’s theorem, is here applied in outline to a variety of situations. These include cases where the variate is discrete, where it is continuous, and when events occur in continuous time.

利用 Pistimetric 概率预测自回归过程的说明AI 解读

Summary The distributions of the parameters and of the future values of a Markov scheme are obtained by a technique which combines the use of Bayes' theorem with the method of inference sometimes considered appropriate to situations where there exist sufficient estimators.