Results 21 to 30 of about 30,884 (295)
A Note on Cumulant Technique in Random Matrix Theory
Entropy, 2023 We discuss the cumulant approach to spectral properties of large random matrices. In particular, we study in detail the joint cumulants of high traces of large unitary random matrices and prove Gaussian fluctuation for pair-counting statistics with non ...
Alexander Soshnikov, Chutong Wu
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Holderian functional central limit theorem for linear processes
Lietuvos Matematikos Rinkinys, 2004 Let (Xt)t ≥ 1 be a linear process defined by Xt = ∑i=0∞ψi εt-1 where (ψi, i ≥ 0) is a sequence of real numbers and (εi , i ∈ Z) is a sequence of random variables with null expectation and variance 1.
Mindaugas Juodis
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Central limit theorem for alternating renewal processes
Lietuvos Matematikos Rinkinys, 2007 Functional central limit theorems for stationary alternating renewal processes with dependent work and repair times, and for associated workload processes are stated. The weak convergence of distributions of properly scaled processesin the Skorokhodspace
Rimas Banys
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A Central Limit Theorem for Spatial Observations
Austrian Journal of Statistics, 2016 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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Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variables from a choosen well-behaved distribution and summing them achieving the gaussian distribution, wich is the main result of the central limit theorem ...
Estados Unidos da América. Open Source Physics (OSP)
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A Central Limit Theorem for inner functions
Advances in Mathematics, 2022 26 ...
Nicolau Nos, Artur, Soler i Gibert, Odí
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Error estimate in the central limit theorem
Lietuvos Matematikos Rinkinys, 2008 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
Modern Stochastics: Theory and Applications, 2023 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]
Journal of Theoretical Probability, 2017 15 ...
Berckmoes, B., Molenberghs, Geert
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The central limit theorem for the Smoluchovski coagulation model [PDF]
, 2010 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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