Results 121 to 130 of about 7,698 (239)
Explicit constants in the nonuniform local limit theorem for Poisson binomial random variables
In a recent paper the authors proved a nonuniform local limit theorem concerning normal approximation of the point probabilities P ( S = k ) $P(S=k)$ when S = ∑ i = 1 n X i $S=\sum_{i=1}^{n}X_{i}$ and X 1 , X 2 , … , X n $X_{1},X_{2},\ldots ,X_{n}$ are ...
Graeme Auld, Kritsana Neammanee
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On Stein’s method for multivariate normal approximation [PDF]
The purpose of this paper is to synthesize the approaches taken by Chatterjee-Meckes and Reinert-R llin in adapting Stein's method of exchangeable pairs for multivariate normal approximation. The more general linear regression condition of Reinert-R llin allows for wider applicability of the method, while the method of bounding the solution of the ...
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Adaptive Truncation Threshold Determination for Multimode Fiber Single-Pixel Imaging
Truncated singular value decomposition (TSVD) is a popular recovery algorithm for multimode fiber single-pixel imaging (MMF-SPI), and it uses truncation thresholds to suppress noise influences.
Yangyang Xiang +6 more
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NeighShrink is an efficient image denoising algorithm based on the discrete wavelet transform (DWT). Its disadvantage is to use a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands.
ايمان محمد جعفر علوان
doaj
Editorial: Bayesian Inference and AI. [PDF]
Tang N, Liu C, Shi JQ, Huang Y.
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Stein's Method of Moments on the Sphere
We use Stein characterizations to obtain new moment-type estimators for the parameters of three classical spherical distributions (namely the Fisher-Bingham, the von Mises-Fisher, and the Watson distributions) in the i.i.d. case. This leads to explicit estimators which have good asymptotic properties (close to efficiency) and therefore lead to ...
Fischer, Adrian +2 more
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Stein's Method and Stochastic Analysis of Rademacher Functionals [PDF]
Gesine Reinert +2 more
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A note on the exchangeability condition in Stein’s method
We show by a surprisingly simple argument that the exchangeability condition, which is key to the exchangeable pair approach in Stein's method for distributional approximation, can be omitted in many standard settings. This is achieved by replacing the usual antisymmetric function by a simpler one, for which only equality in distribution is required ...
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Editorial: Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA). [PDF]
Zhang YD, Li S, Cattani C, Wang SH.
europepmc +1 more source

