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ON THE CHOICE OF THE LOSS FUNCTION IN COVARIANCE ESTIMATION

Statistics & Risk Modeling, 1990
Summary: 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 \[ Cov({\hat \beta}(\Omega))\leq Cov({\hat \beta}({\hat \Omega}))\leq \epsilon_{\gamma}[{\mathfrak L}(\gamma,{\hat \gamma})]Cov({\hat \beta}(\Omega)), \]
openaire   +2 more sources

Covariance Function: Spherical Wave

Field Guide to Atmospheric Optics, Second Edition, 2019
L. Andrews
semanticscholar   +1 more source

A class of covariate-dependent spatiotemporal covariance functions.

The annals of applied statistics
In 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
openaire   +1 more source

Covariant Hyperelliptic Functions of Genus Two

Theoretical and Mathematical Physics, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Modeling nonstationary covariance function with convolution on sphere

Computational Statistics & Data Analysis, 2016
Yang Li, Zhengyuan Zhu
semanticscholar   +1 more source

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