A new covariance function for spatio-temporal data analysis

被引：0

作者：

Rao, Tata Subba ^{[1
]}

Terdik, Gyorgy ^{[1
]}

机构：

[1] Univ Debrecen Hungary, H-4028 Debrecen, Hungary

来源：

INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014) | 2014年

关键词：

Spatio-temporal data analysis; Discrete Fourier transforms; Covariance functions; Spectral density functions; Laplacian operators;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The object of this paper is to obtain a class of spatio-temporal covariance functions and then derive an optimal predictor of observations at a known location (where there is no data available) given the time series data at neighbouring locations.

引用

页码：64 / 66

页数：3

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