Results 221 to 230 of about 207,129 (274)

QUANTIZATION OF INFORMATION THEORY (Mathematical Studies on Independence and Dependence Structure : Algebra meets Probability)

open access: yesQUANTIZATION OF INFORMATION THEORY (Mathematical Studies on Independence and Dependence Structure : Algebra meets Probability)
openaire  

On Independence of Events in Noncommutative Probability Theory [PDF]

open access: closedLobachevskii Journal of Mathematics, 2021
Abstract: We consider a tracial state ϕ on a von Neumann algebra A and assume that projections P, Q of A are independent if ϕ(PQ) = ϕ(P)ϕ(Q). First we present the general criterion of a projection pair independence. We then give a geometric criterion for independence of different pairs of projections.
А. М. Бикчентаев   +1 more
semanticscholar   +3 more sources

Qualitative independence in probability theory [PDF]

open access: closedTheory 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
semanticscholar   +3 more sources

Stochastic independence in non-commutative probability theory

open access: closedMathematical 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
semanticscholar   +5 more sources

Conditional independence in probability theory on MV-algebras

open access: closedSoft Computing, 2003
The author considers a weakly \(\sigma\)-distributive MV-algebra \(M\) and a state on \(M\). He defines the conditional independence of two observables \(x_1\), \(x_2\) given an observable \(x_3\), and he shows that the notion has properties that are analogous to the independence in the Kolmogorov theory.
Tomáš Kroupa
semanticscholar   +4 more sources

Statistical Independence and Kolmogorov’s Probability Theory

open access: closed, 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
openalex   +3 more sources

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