Results 11 to 20 of about 667,125 (317)

Gaussian approximation of Gaussian scale mixtures [PDF]

open access: yesKybernetika, 2021
For a given positive random variable $V>0$ and a given $Z\sim N(0,1)$ independent of $V$, we compute the scalar $t_0$ such that the distance between $Z\sqrt{V}$ and $Z\sqrt{t_0}$ in the $L^2(\R)$ sense, is minimal. We also consider the same problem in several dimensions when $V$ is a random positive definite matrix.
Gérard Letac, Hélène Massam
openaire   +2 more sources

Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering [PDF]

open access: yesJournal of Classification, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Biernacki, Christophe   +2 more
openaire   +7 more sources

The Product of Gaussian Matrices is Close to Gaussian

open access: yesCoRR, 2021
Appears in the Proceedings of APPROX/RANDOM ...
Li, Yi, Woodruff, David P.
openaire   +4 more sources

Indirect Gaussian Graph Learning Beyond Gaussianity [PDF]

open access: yesIEEE Transactions on Network Science and Engineering, 2020
This paper studies how to capture dependency graph structures from real data which may not be Gaussian. Starting from marginal loss functions not necessarily derived from probability distributions, we utilize an additive over-parametrization with shrinkage to incorporate variable dependencies into the criterion.
Yiyuan She, Shao Tang, Qiaoya Zhang
openaire   +2 more sources

Gaussian Integers [PDF]

open access: yesFormalized Mathematics, 2013
Summary Gaussian integer is one of basic algebraic integers. In this article we formalize some definitions about Gaussian integers [27]. We also formalize ring (called Gaussian integer ring), Z-module and Z-algebra generated by Gaussian integer mentioned above.
Yuichi Futa   +3 more
openaire   +3 more sources

Gaussianizing the non-Gaussian lensing convergence field: The performance of the Gaussianization [PDF]

open access: yesPhysical Review D, 2011
Motivated by recent works of Neyrinck et al. 2009 and Scherrer et al. 2010, we proposed a Gaussianization transform to Gaussianize the non-Gaussian lensing convergence field $κ$. It performs a local monotonic transformation $κ\rightarrow y$ pixel by pixel to make the unsmoothed one-point probability distribution function of the new variable $y ...
Yu, Yu   +4 more
openaire   +2 more sources

2D affine transform parameters by Gaussian elimination with pivoting [PDF]

open access: yesArchives of Civil Engineering
In many geomatics, computer vision, and computer-aided applications, coordinate transformations are needed to transform from one coordinate system to another, especially in geodesy and photogrammetry.
Tariq N. Ataiwe   +2 more
doaj   +1 more source

Are the program packages for molecular structure calculations really black boxes? [PDF]

open access: yesJournal of the Serbian Chemical Society, 2007
In this communication it is shown that the widely held opinion that compact program packages for quantum-mechanical calculations of molecular structure can safely be used as black boxes is completely wrong.
Mraković Ana   +4 more
doaj   +1 more source

Gaussian process model based predictive control [PDF]

open access: yes, 2003
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Kocijan, J.   +17 more
core   +1 more source

nanotech-empa/aiida-gaussian: v2.0.0

open access: yes, 2022
What's Changed Migrate to aiida 2 by @eimrek in https://github.com/nanotech-empa/aiida-gaussian/pull/23 Full Changelog: https://github.com/nanotech-empa/aiida-gaussian/compare/v1.5.0...v2.0.
Aliaksandr Yakutovich   +5 more
core   +1 more source

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