Results 21 to 30 of about 15,956 (279)
Stein's method of exchangeable pairs for the Beta distribution and generalizations [PDF]
, 2015 We propose a new version of Stein's method of exchangeable pairs, which, given a suitable exchangeable pair $(W,W')$ of real-valued random variables, suggests the approximation of the law of $W$ by a suitable absolutely continuous distribution.
Döbler, Christian
core +1 more source
An improved bound for negative binomial approximation with -functions
AKCE International Journal of Graphs and Combinatorics, 2017 In this article, we use Stein’s method together with -functions to give an improved bound for the total variation distance between the distribution of a non-negative integer-valued random variable and the negative binomial distribution with parameters ...
K. Teerapabolarn
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
A Stein characterisation of the generalized hyperbolic distribution [PDF]
, 2017 The generalized hyperbolic (GH) distributions form a five parameter family of probability distributions that includes many standard distributions as special or limiting cases, such as the generalized inverse Gaussian distribution, Student's $t ...
Barbour +27 more
core +2 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
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
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.
doaj +1 more source
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
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
doaj +1 more source
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
doaj +1 more source