Results 11 to 20 of about 614 (216)
Cauchy approximation for sums of independent random variables
International Journal of Mathematics and Mathematical Sciences, 2003 We use Stein's method to find a bound for Cauchy approximation. The random variables which are considered need to be independent.
K. Neammanee
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The Stein-Dirichlet-Malliavin method
ESAIM: Proceedings and Surveys, 2015 The Stein’s method is a popular method used to derive upper-bounds of distances between probability distributions. It can be viewed, in certain of its formulations, as an avatar of the semi-group or of the smart-path method used ...
Decreusefond L.
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Ethical care of the other: Edith Stein and Max Scheler's contributions
Escola Anna Nery, 2018 Objective: To analyze the empathy of Edith Stein and the sympathy of Max Scheler for an ethical care of the other. Method: A reflexive, philosophical study anchored in the philosopher Edith Stein's thoughts about empathy for the care of the human person,
Valdecyr Herdy Alves +5 more
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Recovering Texture with a Denoising-Process-Aware LMMSE Filter
Signals, 2021 Image denoising methods generally remove not only noise but also fine-scale textures and thus degrade the subjective image quality. In this paper, we propose a method of recovering the texture component that is lost under a state-of-the-art denoising ...
Yuta Saito, Takamichi Miyata
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An improvement of a nonuniform bound for unbounded exchangeable pairs
Journal of Inequalities and Applications, 2023 In this paper, we obtain a nonuniform Berry–Esseen bound for a normal approximation via the Stein method and the exchangeable-pair coupling technique where the boundedness condition of the difference between the exchangeable pair is not required.
Patcharee Sumritnorrapong +1 more
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Performance Enhancement of INS and UWB Fusion Positioning Method Based on Two-Level Error Model
Sensors, 2023 In GNSS-denied environments, especially when losing measurement sensor data, inertial navigation system (INS) accuracy is critical to the precise positioning of vehicles, and an accurate INS error compensation model is the most effective way to improve ...
Zhonghan Li +4 more
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Evaluation of MRI Denoising Methods Using Unsupervised Learning
Frontiers in Artificial Intelligence, 2021 In this paper we evaluate two unsupervised approaches to denoise Magnetic Resonance Images (MRI) in the complex image space using the raw information that k-space holds.
Marc Moreno López +2 more
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Constrained Bayesian Method for Testing Equi-Correlation Coefficient
AxiomsThe problem of testing the equi-correlation coefficient of a standard symmetric multivariate normal distribution is considered. Constrained Bayesian and classical Bayes methods, using the maximum likelihood estimation and Stein’s approach, are examined ...
Kartlos Kachiashvili, Ashis SenGupta
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Advanced Functional Materials, EarlyView.Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai +6 more
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Journal of Modern ScienceObjectives The aim of this article is to present the primary premises of Edith Stein's pedagogical thought, highlighting its fundamental foundations in the philosophy of man. Material and methods To this end, the author utilizes the method of historical
Jarosław Gara
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