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Central moment inequalities using Stein’s method [PDF]
Electronic Journal of Probability, 2020 Ver 3: 25 pages, added a reference and details; Ver 2: 24 pages, additional discussion; Ver1: 21 ...
Barbour, AD, Ross, N, Wen, Y
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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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, 2014 The paper presents a general introduction to the astonishing method for deriving probability approximations that was invented by Charles Stein around 50 years ago.
Barbour, A D, Chen, L H Y
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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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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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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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Stein's method meets Malliavin calculus: a short survey with new estimates [PDF]
, 2009 We provide an overview of some recent techniques involving the Malliavin calculus of variations and the so-called ``Stein's method'' for the Gaussian approximations of probability distributions.
Nourdin, Ivan, Peccati, Giovanni
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Stein’s method for concentration inequalities [PDF]
Probability Theory and Related Fields, 2006 15 pages.
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Stein's method, Malliavin calculus, Dirichlet forms and the fourth moment theorem
, 2014 The fourth moment theorem provides error bounds of the order $\sqrt{{\mathbb E}(F^4) - 3}$ in the central limit theorem for elements $F$ of Wiener chaos of any order such that ${\mathbb E}(F^2) = 1$.
Chen, Louis H. Y., Poly, Guillaume
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Scandinavian Journal of StatisticsAbstract Stein operators allow one to characterize probability distributions via differential operators. Based on these characterizations, we develop a new method of point estimation for marginal parameters of strictly stationary and ergodic processes, which we call Stein's Method of Moments
Ebner, B +4 more
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