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Bayesian Decision Theory and Stochastic Independence [PDF]
Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory.
Philippe Mongin
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Multiple perspectives on the concept of conditional probability [PDF]
Conditional probability is a key to the subjectivist theory of probability; however, it plays a subsidiary role in the usual conception of probability where its counterpart, namely independence is of basic importance.
Manfred Borovcnik
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Homotopy Theory of Probability Spaces I: Classical independence and homotopy Lie algebras [PDF]
117 ...
Jae-Suk Park
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Probability weighting explains Independence Axiom violations of Expected Utility Theory in monkeys
Wolfram Schultz
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Book Review: Slatistical independence in probability, analysis and number theory [PDF]
W. J. LeVeque
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Romain Biard +2 more
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Mark Kac, Statistical Independence in Probability, Analysis and Number Theory (Math. Association of America, and John Wiley & Sons1959), xiv + 93 pp., $3. [PDF]
David G. Kendall
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In this paper, we consider the sum Snξ = ξ1 + ... + ξn of possibly dependent and nonidentically distributed real-valued random variables ξ1, ... , ξn with consistently varying distributions. By assuming that collection {ξ1, ...
Jonas Sprindys, Jonas Šiaulys
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Robot-assisted therapy can effectively treat upper extremity (UE) paralysis in patients who experience a stroke. Presently, UE, as a training item, is selected according to the severity of the paralysis based on a clinician’s experience.
Takashi Takebayashi +3 more
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