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Mathematical Probability in the Natural Sciences [PDF]
Technometrics, 1959 Presidential address given at Symposium III of the XVIIIe Congress International des Sciences Pharmaceutiques, organized jointly by the Scientific Section of the International Pharmaceutical Federation and the Section Adolphe Quetelet—Brussels, 8–15 September, 1958. This address will also appear in Metrika, 1959.
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Mathematics and Probability [PDF]
Nature, 1967 Green's Function Methods in Probability Theory By Julian Keilson. (Griffin's Statistical Monographs and Courses, No. 17.) Pp. viii + 220. (London: Charles Griffin and Co., Ltd., 1965.) 40s. net.
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A Mathematical Framework for Learning Probability Distributions
Journal of Machine Learning, 2022 The modeling of probability distributions, specifically generative modeling and density estimation, has become an immensely popular subject in recent years by virtue of its outstanding performance on sophisticated data such as images and texts. Nevertheless, a theoretical understanding of its success is still incomplete.
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Probability in Logic, Mathematics and Science
Dialectica, 1949 Die Definition der Wahrscheinlichkeit wird aus drei Gesichtspunkten beleuchtet. I. Beim mathematischen a) als das klassische Verhältnis der Zahl der dem Ereignis günstigen Fälle zu jener aller gleichmöglichen, b) als die relative Häufigkeit des Ereignisses innerhalb einer festen Zahl von Wiederholungen des Versuches, c) als ein vollständig additives ...
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«THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS» — рецензований міжнародний науковий журнал. Засновано 1970 Київським університетом імені Т. Шевченка з ініціативи А. Скорохода та М. Ядренка. У 2011—20 головним редактором був В. Королюк; від 2020 — Ю. Мішура. Нині видають двічі... ⚠️ Цей запис містить лише бібліографічні метадані.
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The introduction of probability into mathematics
Historia Mathematica, 1976 AbstractThe coincidence of two independent developments led to the mathematization of probability from Pascal to de Moivre. On the one hand there are the changing implications of probabilitas ending in a quantifiable concept, and on the other, the mathematization of chance within the area of games of chance.
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Introduction to Mathematical Probability
, 1937 J. V. Uspensky’s Introduction to Mathematical Probability is a classic textbook that provides a rigorous yet accessible foundation in probability theory. Written in the early twentieth century, the book systematically develops the subject from basic combinatorial principles to more advanced topics such as the law of large numbers, the central limit ...
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Introduction to Mathematical Probability. [PDF]
The American Mathematical Monthly, 1938 J. A. Greenwood, J. V. Uspensky
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