Results 11 to 20 of about 1,930,444 (347)
Gaussian approximation of Gaussian scale mixture [PDF]
Kybernetika, 2019 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.
Letac, Gérard, Massam, Hélène
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Multiplying a Gaussian Matrix by a Gaussian Vector [PDF]
Statistics & Probability Letters, 2017 We provide a new and simple characterization of the multivariate generalized Laplace distribution. In particular, this result implies that the product of a Gaussian matrix with independent and identically distributed columns by an independent isotropic ...
Mattei, Pierre-Alexandre
core +4 more sources
A Family of non-Gaussian Martingales with Gaussian Marginals [PDF]
Journal of Applied Mathematics and Stochastic Analysis, 2006 We construct a family of non-Gaussian martingales the marginals of which are all Gaussian. We give the predictable quadratic variation of these processes and show they do not have continuous paths. These processes are Markovian and inhomogeneous in time,
Hamza, kais, Klebaner, Fima C.
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Electronic Research Archive, 2023 The eigenvalues and eigenvectors of a normalized gaussian operator do not seem to have been previously considered. I solve this problem for 1-dimensional translational systems.
R. F. Snider
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Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering [PDF]
Journal of Classification, 2020 A generic method is introduced to visualize in a “Gaussian-like way,” and onto $\mathbb {R}^{2}$ , results of Gaussian or non-Gaussian–based clustering. The key point is to explicitly force a visualization based on a spherical Gaussian mixture to inherit ...
Biernacki, Christophe +2 more
openaire +6 more sources
Gaussian Processes and Gaussian Measures [PDF]
The Annals of Mathematical Statistics, 1972 The subject of this paper is the study of the correspondence between Gaussian processes with paths in linear function spaces and Gaussian measures on function spaces. For the function spaces $C(I), C^n\lbrack a, b\rbrack, AC\lbrack a, b\rbrack$ and $L_2(T, \mathscr{A}, \nu)$ it is shown that if a Gaussian process has paths in these spaces then it ...
Rajput, Balram S., Cambanis, Stamatis
openaire +2 more sources
Modeling with generalized linear model on covid-19: Cases in Indonesia
International Journal of Electronics and Communications System, 2021 The ongoing Covid-19 outbreak has made scientists continue to research this Covid-19 case. Most of the research carried out is on the prediction and modeling of Covid-19 data. This study will also discuss Covid-19 data modeling.
Subian Saidi +2 more
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A compact weak measurement to observe the spin Hall effect of light
Nanophotonics, 2023 The spin Hall effect of light (SHEL), a microscopic and transverse splitting of linearly polarized light into circularly polarized components during refraction and reflection, can be measured at subnanometer scales using weak measurements and has emerged
Kim Minkyung
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A Robust Framework for Epidemic Analysis, Prediction and Detection of COVID-19
Frontiers in Public Health, 2022 Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and, particularly, the widespread disruption in numerous countries, namely, the US, Italy, India, Saudi Arabia. The timely detection of this infectious disease is mandatory
Farman Hassan +4 more
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The Generalization of Gaussians and Leonardo’s Octonions
Annales Mathematicae Silesianae, 2023 In order to explore the Leonardo sequence, the process of complex-ification of this sequence is carried out in this work. With this, the Gaussian and octonion numbers of the Leonardo sequence are presented.
Vieira Renata Passos Machado +3 more
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