书目名称 | Inference, Method and Decision | 副标题 | Towards a Bayesian P | 编辑 | Roger D. Rosenkrantz | 视频video | | 丛书名称 | Synthese Library | 图书封面 |  | 描述 | This book grew out of previously published papers of mine composed over a period of years; they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that the traditional principle of induction in its clearest formulation (that laws are confirmed by their positive cases) is clearly false. Other formulations in terms of the ‘uniformity of nature‘ or the ‘resemblance of the future to the past‘ seem to me hopelessly unclear. From a Bayesian point of view, ‘learning from experience‘ goes by conditionalization (Bayes‘ rule). The traditional stum bling block for Bayesians has been to fmd objective probability inputs to conditionalize upon. Subjective Bayesians allow any probability inputs that do not violate the usual axioms of probability. Many subjectivists grant that this liberality seems prodigal but own themselves unable to think of additional constraints that might plausibly be imposed. To be sure, if we could agree on the correct probabilistic representation of ‘ignorance‘ (or absence of pertinent data), then all probabilities obtained by applying Bayes‘ rule to an ‘informationles | 出版日期 | Book 1977 | 关键词 | Karl R; Popper; invariance; philosophy of science; probability | 版次 | 1 | doi | https://doi.org/10.1007/978-94-010-1237-9 | isbn_softcover | 978-90-277-0818-2 | isbn_ebook | 978-94-010-1237-9Series ISSN 0166-6991 Series E-ISSN 2542-8292 | issn_series | 0166-6991 | copyright | D. Reidel Publishing Company, Dordrecht, Holland 1977 |
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