Results 271 to 280 of about 442,631 (299)
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1999
Recently, considerable attention has been paid to nonlinear models in time series analysis. The fact is, most of the time series in practice are not Gaussian, and the second order statistics of a bilinear model, for example, does not contain any information about the parameters of nonlinearity, see Terdik and Subba Rao [139].
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Recently, considerable attention has been paid to nonlinear models in time series analysis. The fact is, most of the time series in practice are not Gaussian, and the second order statistics of a bilinear model, for example, does not contain any information about the parameters of nonlinearity, see Terdik and Subba Rao [139].
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2013
The study of non-Gaussian impacts in the cosmological fluctuations provides an important information of the early Universe [1]. The primordial non-Gaussianities are measures of the interactions in inflation, hence constraining this will lead to a great deal about the inflationary dynamics.
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The study of non-Gaussian impacts in the cosmological fluctuations provides an important information of the early Universe [1]. The primordial non-Gaussianities are measures of the interactions in inflation, hence constraining this will lead to a great deal about the inflationary dynamics.
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Gaussian Process Regression for Materials and Molecules
Chemical Reviews, 2021Volker L Deringer +2 more
exaly
Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model
Water Research, 2022Soroush Abolfathi +2 more
exaly
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
IEEE Transactions on Image Processing, 2017Wang-Meng Zuo, Yunjin Chen, De-Yu Meng
exaly
Mathematics of vectorial Gaussian beams
Advances in Optics and Photonics, 2019Uri Levy, Yaron Silberberg
exaly