Results 231 to 240 of about 515,254 (287)
Statistical Independence in Probability, Analysis and Number Theory.
The American Mathematical Monthly, 1960 Paul D. Minton, Mark Kac
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Statistical Independence and Kolmogorov’s Probability Theory
, 2017 Manfred Denker, Wojbor A. Woyczyński
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On Independence of Events in Noncommutative Probability Theory
Lobachevskii Journal of Mathematics, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
А. М. Бикчентаев +1 more
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Probability Theory: Independence, Interchangeability, Martingales
Journal of the American Statistical Association, 1998 Robert Lund, Y. S. Chow, Henry Teicher
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Statistical Independence and Kolmogorov’s Probability Theory
, 1998 Independently repeated experiments with random outcomes have a formal counter-part in the mathematical concept of statistical independence. The cleanest way to introduce the latter can be found within the framework of Kolmogorov’s axiomatic probability theory which, since the 1930s, became the standard, and by far most widespread, mathematical model of
Manfred Denker +2 more
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, 2021 This chapter deals with Keynes’s actual way of criticising the classical economic theory compared with his own way of reasoning in A Treatise on Money and the General Theory. This chapter shows the persistence, continuity and coherence of Keynes’s methodological approach in the search for logical fallacies and tacit assumptions.
Anna M. Carabelli
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Stochastic independence in non-commutative probability theory
Mathematical Proceedings of the Cambridge Philosophical Society, 1979 AbstractFor a family {Xα} of random variables over a probability space , stochastic independence can be formulated in terms of factorization properties of characteristic functions. This idea is reformulated for a family {Aα} of selfadjoint operators over a probability gage space and is shown to be inappropriate as a non-commutative generalization ...
W. Driessler, Ivan F. Wilde
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Qualitative independence in probability theory
Theory and Decision, 1978 Probability theory is measure theory specialized by assumptions having to do with stochastic independence. Delete from probability and statistics those theorems that explicitly or implicitly (e.g., by postulating a random sample) invoke independence, and relatively little remains.
R. Duncan Luce, Louis Narens
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