Results 31 to 40 of about 6,796 (225)
Stein meets Malliavin in normal approximation [PDF]
, 2015 Stein's method is a method of probability approximation which hinges on the solution of a functional equation. For normal approximation the functional equation is a first order differential equation.
Chen, Louis H. Y.
core +1 more source
Multivariate Stable Approximation by Stein’s Method
Journal of Theoretical Probability, 2023 In the setting of multivariate approximation by an \(\alpha\)-stable law, for some \(\alpha\in(0,2)\), using Stein's method, the authors establish new bounds on the solution to the underlying Stein equation which allow approximation results to be derived in Wasserstein-type distances.
Chen, P, Nourdin, I, Xu, L, Yang, X
openaire +2 more sources
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
openaire +5 more sources
A Nonuniform Bound to an Independent Test in High Dimensional Data Analysis via Stein’s Method
Journal of Probability and Statistics, 2019 The Berry-Esseen bound for the random variable based on the sum of squared sample correlation coefficients and used to test the complete independence in high diemensions is shown by Stein’s method.
Nahathai Rerkruthairat
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
, 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
openaire +3 more sources
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source