The Annals Of Probability
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The Annals Of Probability
The ''Annals of Probability'' is a leading peer-reviewed probability Academic journal, journal published by the Institute of Mathematical Statistics, which is the main international society for researchers in the areas probability and statistics. The journal was started in 1973 as a continuation in part of the ''Annals of Mathematical Statistics'', which was split into the ''Annals of Statistics'' and this journal. In July 2021, the journal was ranked 7th in the field Probability & Statistics with Applications according to Google Scholar. It had an impact factor of 1.470 (as of 2010), according to the ''Journal Citation Reports''. The impact factor for 2018 is 2.085. Its CiteScore is 4.3, and SCImago Journal Rank is 3.184, both from 2020. Editors-in-Chief: Past and Present The following persons have been editor-in-chief of the journal: * Ronald Pyke (1972–1975) * Patrick Billingsley (1976–1978) * Richard Mansfield Dudley, Richard M. Dudley (1979–1981) * Thomas Milton Liggett ...
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Probability Theory
Probability theory is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms of probability, axioms. Typically these axioms formalise probability in terms of a probability space, which assigns a measure (mathematics), measure taking values between 0 and 1, termed the probability measure, to a set of outcomes called the sample space. Any specified subset of the sample space is called an event (probability theory), event. Central subjects in probability theory include discrete and continuous random variables, probability distributions, and stochastic processes (which provide mathematical abstractions of determinism, non-deterministic or uncertain processes or measured Quantity, quantities that may either be single occurrences or evolve over time in a random fashion). Although it is not possible to perfectly p ...
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