Results 11 to 20 of about 427,889 (308)
Strong convergence of multivariate maxima [PDF]
Journal of Applied Probability, 2020 AbstractIt is well known and readily seen that the maximum of n independent and uniformly on [0, 1] distributed random variables, suitably standardised, converges in total variation distance, as n increases, to the standard negative exponential distribution. We extend this result to higher dimensions by considering copulas.
Falk, Micheal +2 more
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Journal of Inequalities and Applications, 2023 We correct a logic mistake in our paper “On statistical convergence and strong Cesàro convergence by moduli for double sequences” (León-Saavedra et al. in J. Inequal. Appl. 2022:62, 2022).
Fernando León-Saavedra +2 more
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On (f, ρ)−Statistical convergence and strong (f, ρ)−summability of order α [PDF]
E-Journal of Analysis and Applied Mathematics, 2022 The main object of this article is to introduce the concepts of (f, ρ)− statistical convergence of order α and strong (f, ρ)− summability of order α of sequences of real numbers and give some inclusion relations between these spaces.
Hacer Şengül Kandemir +2 more
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Strong almost convergence and almost λ-statistical convergence [PDF]
Hokkaido Mathematical Journal, 2000 Ekrem Savaş
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A strong convergence to the Rosenblatt process [PDF]
Journal of Mathematical Analysis and Applications, 2012 We give a strong approximation of Rosenblatt process via transport processes and we give the rate of convergence.
Garzon, Johanna +2 more
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On Modulated Lacunary Statistical Convergence of Double Sequences
Mathematics, 2023 In earlier works, F. León and coworkers discovered a remarkable structure between statistical convergence and strong Cesàro convergence, modulated by a function f (called a modulus function).
María del Pilar Romero de la Rosa
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On statistical convergence and strong Cesàro convergence by moduli for double sequences
Journal of Inequalities and Applications, 2022 A remarkable result on summability states that the statistical convergence and the strong Cesàro convergence are closely connected. Given a modulus function f, we will establish that a double sequence that is f-strong Cesàro convergent is always f ...
Fernando León-Saavedra +2 more
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Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
On Some Fixed Point Iterative Schemes with Strong Convergence and Their Applications
Mathematical and Computational Applications, 2023 In this paper, a new one-parameter class of fixed point iterative method is proposed to approximate the fixed points of contractive type mappings.
Anku, Mona Narang, Vinay Kanwar
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On strong Npβ(ρ)-convergence and Sβ (ρ) −convergence [PDF]
AIP Conference Proceedings, 2021 In this paper, we introduce the concept of strong ρ−convergence of order β ( or Npβ (ρ) −convergence ) of sequence of real numbers and give some inclusion relations between the set of all ρ−statistical convergence of order β and strong Npβ (ρ)− convergence.
Mikail Et +2 more
openaire +3 more sources