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pro vyhledávání: '"62H11, 86A32"'
Autor:
Gierse, Jana, Fried, Roland
This paper proposes robust estimators of the variogram, a statistical tool that is commonly used in geostatistics to capture the spatial dependence structure of data. The new estimators are based on the highly robust minimum covariance determinant es
Externí odkaz:
http://arxiv.org/abs/2412.01464
We study estimation and prediction of Gaussian random fields with covariance models belonging to the generalized Wendland (GW) class, under fixed domain asymptotics. As the Mat\'ern case, this class allows a continuous parameterization of smoothness
Externí odkaz:
http://arxiv.org/abs/1607.06921
Publikováno v:
Ann. Statist. 47, no. 2 (2019), 828-856
We study estimation and prediction of Gaussian random fields with covariance models belonging to the generalized Wendland (GW) class, under fixed domain asymptotics. As for the Matérn case, this class allows for a continuous parameterization of smoo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cca7bec4667c93c4cf26af3bcf87bfb3
https://doi.org/10.1214/17-aos1652
https://doi.org/10.1214/17-aos1652
