Results 11 to 20 of about 800 (260)
Approximation Results for Sums of Independent Random Variables
Revstat Statistical Journal, 2022 In this article, we consider Poisson and Poisson convoluted geometric approximation to the sums of n independent random variables under moment conditions. We use Stein’s method to derive the approximation results in total variation distance.
Pratima Eknath Kadu
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A non-uniform bound on binomial approximation to the beta binomial cumulative distribution function [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2019 This paper uses Stein’s method and the characterization of beta binomial random variable to determine a non-uniform bound for the distance between the beta binomial cumulative distribution function with parameters n N, 0 and 0 and the ...
Kanint Teerapabolarn, Khunakorn Sae-Jeng
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Interferometric SAR Phase Filtering With SURE-Based Non-Local Method
IEEE Access, 2020 As the phase of the interferometric synthetic aperture radar (InSAR) contains abundant information for many earth observation activities, the interferometric phase denoising is an important step before InSAR processing and application because of its ...
Rui Guo +3 more
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Malliavin–Stein method: a survey of some recent developments
Modern Stochastics: Theory and Applications, 2021 Initiated around the year 2007, the Malliavin–Stein approach to probabilistic approximations combines Stein’s method with infinite-dimensional integration by parts formulae based on the use of Malliavin-type operators. In the last decade, Malliavin–Stein
Ehsan Azmoodeh +2 more
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Iperstoria, 2016 The article takes into account the way in which Gertrude Stein’s literary works have been interpreted by critics over the years. Following the writer’s own cue, scholars – starting with Stein’s long-time friend and admirer, Mable Dodge – have been ...
Enrico Frigeni
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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
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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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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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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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