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Statistical convergence and measure convergence generated by a single statistical measure

Acta Mathematica Sinica, English Series, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Li Xin   +2 more
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Statistical Physics Algorithms That Converge

Neural Computation, 1994
In recent years there has been significant interest in adapting techniques from statistical physics, in particular mean field theory, to provide deterministic heuristic algorithms for obtaining approximate solutions to optimization problems. Although these algorithms have been shown experimentally to be successful there has been little theoretical ...
Alan L. Yuille, J. J. Kosowsky
openaire   +1 more source

Subspaces of A-statistically convergent sequences

Studia Scientiarum Mathematicarum Hungarica, 2003
Let A be a nonnegative regular summability method. In this paper we deal with various subspaces of A-statistically convergent sequences by using the rate of convergence concept. We show, under certain conditions, that these subspaces cannot be endowed with a locally convex FK-topology. We also describe multipliers for bounded A-statistically convergent
Demirci, K., Khan, M.K., Orhan, C.
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Density by moduli and statistical convergence

Quaestiones Mathematicae, 2014
By using modulus functions we introduce a new concept of density for sets of natural numbers. Consequently, we obtain a generalization of the notion of statistical convergence which is studied and characterized. As an application, we prove that the ordinary convergence is equivalent to the module statistical convergence for every unbounded modulus ...
Aizpuru, A   +2 more
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Generalized Limits and Statistical Convergence

Mediterranean Journal of Mathematics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yurdakadim, T.   +3 more
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On the statistical convergence

1994
Summary: In this paper, \(\widehat {w} (f, p)\) convergence is defined in the locally convex Hausdorff topological linear space, where \(p= (p_k)\) is a real sequence with positive terms and \(f\) is a modulus function. The relationship with statistical convergence is given.
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Convergence and club convergence of CO2 emissions at state levels: A nonlinear analysis of the USA

Journal of Cleaner Production, 2021
Ibrahim Raheem   +2 more
exaly  

On statistical convergence and statistical monotonicity

Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, 2013
E. Kaya Kucukaslan, R. Wagner
openaire   +1 more source

Statistical Convergence of Kernel CCA.

2006
While kernel canonical correlation analysis (kernel CCA) has been applied in many problems, the asymptotic convergence of the functions estimated from a finite sample to the true functions has not yet been established. This paper gives a rigorous proof of the statistical convergence of kernel CCA and a related method (NOCCO), which provides a ...
Fukumizu, K., Bach, F., Gretton, A.
openaire   +2 more sources

Breast cancer statistics, 2015: Convergence of incidence rates between black and white women

Ca-A Cancer Journal for Clinicians, 2016
Ahmedin Jemal   +2 more
exaly  

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