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Random Variables, Elements, and Measurable Maps
2005In this chapter, we will precisely define a random variable. A random variable is a real valued function with domain Ω which has an extra property called measurability that allows us to make probability statements about the random variables.
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On the second role of the random element in minimization
Contemporary Clinical Trials, 2010Although the main reason for adding a random element at every step of minimization procedure is to reduce predictability of the upcoming treatment assignments in single-center open-label trials, there is another reason for its use, applicable to double-blind trials.
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Strong previsions of random elements
Statistical Methods & Applications, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BERTI P. +2 more
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Convergence in Law of Random Elements and Random Sets
1998Throughout this paper, we let T denote a fixed topological space (not necessarily Hausdorff) and we let (Ω, F, P) and (ϒ, A, Q) denote two fixed probability spaces. We let (E,E*,E *) denote the P-expectation, the upper and the lower P-expectation. Similarly, we let (E,E*,E*) denote the Q-expectation, the upper and the lower Q-expectation. Recall that a
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Quantum Random Active Element Machine
2013In [4], a computational procedure (Procedure 2) - combining quantum randomness and the active element machine (AEM) [5] - executes a universal Turing machine with Turing incomputable firing patterns. The procedure emulates any digital computer program so its computational steps are incomprehensible to an external observer.
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A Finite Element Method for Random Differential Equations with Random Coefficients
SIAM Journal on Numerical Analysis, 1979A finite element method is derived for solving equations of the following type \[ - (p(x)u'(x,\omega ))' + (q(x) + r(x)\lambda (\omega ))^2 u(x,\omega ) = f(x,\omega ),\quad 0 \leqq x \leqq l,\] with boundary conditions $u(0,\omega ) \equiv u(l,\omega ) \equiv 0$ where (i) $0 < p \in C^1 [0,l]$; (ii) $q,r \in C[0,l]$; (iii) $f(x,\omega ) = B'(x,\omega )
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Series of independent random elements
1997This chapter is entirely devoted to series of independent random elements in separable F-spaces. Sections 1.1 and 1.2 are preliminary. The equivalence of strong and weak almost sure convergence of series of independent symmetric summands (a generalization of the Ito-Nisio theorem) is considered in Section 1.3.
Valery Buldygin, Serguei Solntsev
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Sums of Independent Random Elements
1987Independence is one of the most important notions of the probability theory, and series of independent random elements in Banach spaces are an interesting object in themselves but also have applications in other areas of mathematics, in particular, in the geometric theory of Banach spaces.
N. N. Vakhania +2 more
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On convergence for series of random elements
Nonlinear Analysis: Theory, Methods & Applications, 2001Hu, Tien-Chung, Wang, Chunnan
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