Results 21 to 30 of about 57,267 (303)
MCMC generation of cosmological fields far beyond Gaussianity
The Open Journal of Astrophysics, 2021 Structure formation in our Universe creates non-Gaussian random fields that will soon be observed over almost the entire sky by the Euclid satellite, the Vera-Rubin observatory, and the Square Kilometre Array.
Joey R. Braspenning, Elena Sellentin
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An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
IEEE Access, 2022 This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
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Gaussian conditional random fields for classification
Expert Systems with Applications, 2023 Draft paper without experimental ...
Andrija Petrović +3 more
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Skew-Gaussian random fields [PDF]
Spatial Statistics, 2014 Skewness is often present in a wide range of spatial prediction problems, and modeling it in the spatial context remains a challenging problem. In this study a skew-Gaussian random field is considered. The skew-Gaussian random field is constructed by using the multivariate closed skew-normal distribution, which is a generalization of the traditional ...
Kjartan Rimstad, Henning Omre
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Simulation of Gaussian random field in a ball [PDF]
Monte Carlo Methods and Applications, 2022 Abstract We address the problem of statistical simulation of a scalar real Gaussian random field inside the unit 3D ball. Two different methods are studied: (i) the method based on the known homogeneous isotropic power spectrum developed by Meschede and Romanowicz [M. Meschede and B.
Dmitriy Kolyukhin, Alexander Minakov
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Bounds for the Tail Distributions of Suprema of Sub-Gaussian Type Random Fields
Austrian Journal of Statistics, 2023 The paper presents bounds for the distributions of suprema for particular classes of ϕ-sub-Gaussian random fields. Results stated depend on representations of bounds for increments of the fields in different metrics. Several examples of applications are
Olha Hopkalo +2 more
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Extremes of Homogeneous Gaussian Random Fields [PDF]
Journal of Applied Probability, 2015 Let {X(s, t): s, t ≥ 0} be a centred homogeneous Gaussian field with almost surely continuous sample paths and correlation function r(s, t) = cov(X(s, t), X(0, 0)) such that r(s, t) = 1 - |s|α1 - |t|α2 + o(|s|α1 + |t|α2), s, t → 0, with α1, α2 ∈ (0, 2], and r(s, t) < 1 for (s, t) ≠ (0, 0). In this contribution we derive an asymptotic expansion (as u
Dębicki, Krzysztof +2 more
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Fast estimation of the look-elsewhere effect using Gaussian random fields
European Physical Journal C: Particles and Fields, 2023 We discuss the use of Gaussian random fields to estimate the look-elsewhere effect correction. We show that Gaussian random fields can be used to model the null-hypothesis significance maps from a large set of statistical problems commonly encountered in
Juehang Qin, Rafael F. Lang
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Comparisons of spatial prediction methods for stationary Gaussian random fields
Lietuvos Matematikos Rinkinys, 1998 There is not abstract.
Kęstutis Dučinskas +1 more
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Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping [PDF]
, 2005 Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial ...
Brezger, Andreas +2 more
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