The Theory of Probability

By H. Jeffreys. 1922

DR. KEYNES'S book is a searching analysis of the fundamental principles of the theory of probability and of the particular judgments involved in its application to concrete problems. He adopts the view that knowledge may be relevant to our rational belief of a proposition without amounting to complete proof or disproof of it, and treats the probability as a measure of this relevance. NO.Otherwise he does not attempt to define “probability,” regarding it as a concept intelligible without further definition. In this respect, as in several others, he is in agreement with the views expressed by Dr. Wrinch and the present reviewer (Philosophical Magazine, vol. 38, 1919, pp. 715-31), and some comparison of the two presentations may not be out of place.A Treatise on ProbabilityBy J. M. Keynes. Pp. xi + 466. (London: Macmillan and Co., Ltd., 1921.) 18s. net.

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Citations in the corpus

Probability measures on the space of persistence diagrams (2011, background): “This idea of a substitution likelihood goes back to Jeffreys [31] and a basic question in TDA is what properties of Pθ are preserved by PD.”
New physics in light of the H0 tension: An alternative view (2019, methodology): “The Jeffreys scale is a well known example of scale used for performing a qualitative assessment of model preference based on the value of lnBij [227].”
Controlling False Discoveries During Interactive Data Exploration (2016, methodology): “While the frequentist approach to hypothesis testing has been criticized [21, 28] and there has been work in developing alternative approaches, such as Bayesian tests [4], it is still widely used in practice and we consider it a good first choice to build a system which automatically controls the mu”