Results 61 to 70 of about 7,698 (239)
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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Bernoulli, 2022 This paper proposes and studies a numerical method for approximation of posterior expectations based on interpolation with a Stein reproducing kernel. Finite-sample-size bounds on the approximation error are established for posterior distributions supported on a compact Riemannian manifold, and we relate these to a kernel Stein discrepancy (KSD ...
Barp A +3 more
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Wasserstein and Kolmogorov Error Bounds for Variance-Gamma Approximation via Stein’s Method I [PDF]
Journal of theoretical probability, 2017 The variance-gamma (VG) distributions form a four-parameter family that includes as special and limiting cases the normal, gamma and Laplace distributions.
Robert E. Gaunt
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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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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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Multivariate normal approximation with Stein’s method of exchangeable pairs under a general linearity condition [PDF]
, 2007 In this paper we establish a multivariate exchangeable pairs approach within the framework of Stein's method to assess distributional distances to potentially singular multivariate normal distributions.
G. Reinert, Adrian Röllin
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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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Archimedes, Gauss, and Stein [PDF]
, 2012 We discuss a characterization of the centered Gaussian distribution which can be read from results of Archimedes and Maxwell, and relate it to Charles Stein's well-known characterization of the same distribution.
Pitman, Jim, Ross, Nathan
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Chi-square approximation by Stein's method with application to Pearson's statistic [PDF]
, 2015 This paper concerns the development of Stein's method for chi-square approximation and its application to problems in statistics. New bounds for the derivatives of the solution of the gamma Stein equation are obtained. These bounds involve both the shape
Robert E. Gaunt, A. Pickett, G. Reinert
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Percolation Problems on N-Ary Trees
Mathematics, 2023 Percolation theory is a subject that has been flourishing in recent decades. Because of its simple expression and rich connotation, it is widely used in chemistry, ecology, physics, materials science, infectious diseases, and complex networks.
Tianxiang Ren, Jinwen Wu
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