Results 11 to 20 of about 7,937,632 (296)
Comprehending the central limit theorem
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothesis.
Kerley, Lyndell M.
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Quantum entropy and central limit theorem. [PDF]
We introduce a framework to study discrete-variable (DV) quantum systems based on qudits. It relies on notions of a mean state (MS), a minimal stabilizer-projection state (MSPS), and a new convolution. Some interesting consequences are: The MS is the closest MSPS to a given state with respect to the relative entropy; the MS is extremal with respect to ...
Bu K, Gu W, Jaffe A.
europepmc +5 more sources
A Central Limit Theorem for Spatial Observations
The Central Limit Theorem is proved for m-dependent random fields. The random field is observed in a sequence of irregular domains. The sequence of domains is increasing and at the same time the locations of the observations become more and more dense in
István Fazekas +2 more
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A Central Limit Theorem for inner functions
26 ...
Nicolau Nos, Artur, Soler i Gibert, Odí
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A limit theorem on the core [PDF]
Trockel W. A limit theorem on the core. Journal of Mathematical Economics.
Walter Trockel +1 more
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Error estimate in the central limit theorem
In this paper, we determined, independent identically distributed random variable’s {Xk, k = 1,2,...} centered and normalized sum’s Sn = \sumn k=1 Xk distribution’s Fn(x) = P(Zn < x) exact error estimate in case of the normal approximation with one ...
Aurelija Kasparavičiūtė +1 more
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A quantitative functional central limit theorem for shallow neural networks
We prove a quantitative functional central limit theorem for one-hidden-layer neural networks with generic activation function. Our rates of convergence depend heavily on the smoothness of the activation function, and they range from logarithmic for ...
Valentina Cammarota +3 more
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Approximate Central Limit Theorems [PDF]
15 ...
Berckmoes, B., Molenberghs, Geert
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The central limit theorem for the Smoluchovski coagulation model [PDF]
The general model of coagulation is considered. For basic classes of unbounded coagulation kernels the central limit theorem (CLT) is obtained for the fluctuations around the dynamic law of large numbers (LLN) described by the Smoluchovski equation.
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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Central limit theorems for sub-linear expectation under the Lindeberg condition
In this paper, we investigate the central limit theorems for sub-linear expectation for a sequence of independent random variables without assumption of identical distribution. We first give a bound on the distance between the normalized sum distribution
Cheng Hu
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