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ON THE CHOICE OF THE LOSS FUNCTION IN COVARIANCE ESTIMATION
Statistics & Risk Modeling, 1990Summary: In a generalized linear model, under certain conditions, the covariance matrices of a two-stage Aitken estimator and the Gauss-Markov estimator are related via Kariya's inequality of the form \[ Cov({\hat \beta}(\Omega))\leq Cov({\hat \beta}({\hat \Omega}))\leq \epsilon_{\gamma}[{\mathfrak L}(\gamma,{\hat \gamma})]Cov({\hat \beta}(\Omega)), \]
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Covariance Function: Spherical Wave
Field Guide to Atmospheric Optics, Second Edition, 2019L. Andrews
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A class of covariate-dependent spatiotemporal covariance functions.
The annals of applied statisticsIn geostatistics, it is common to model spatially distributed phenomena through an underlying stationary and isotropic spatial process. However, these assumptions are often untenable in practice because of the influence of local effects in the correlation structure.
Brian J, Reich +4 more
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Covariant Hyperelliptic Functions of Genus Two
Theoretical and Mathematical Physics, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Dynamic Time Warping based covariance function for Gaussian Processes signature identification
Computational Geosciences, 2016Katherine L. Silversides, A. Melkumyan
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Modeling nonstationary covariance function with convolution on sphere
Computational Statistics & Data Analysis, 2016Yang Li, Zhengyuan Zhu
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IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015
S. M. Golan, S. Gannot
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S. M. Golan, S. Gannot
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Nonparametric Estimation of Spatial and Space-Time Covariance Function
, 2013Inkyung Choi, Bo Li, Xiao Wang
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IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012
P. Borgnat, P. Abry, P. Flandrin
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P. Borgnat, P. Abry, P. Flandrin
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A well-conditioned estimator for large-dimensional covariance matrices
, 2004Olivier Ledoit, Michael Wolf
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