Top Qs
Timeline
Chat
Perspective
Rational quadratic covariance function
From Wikipedia, the free encyclopedia
Remove ads
In statistics, the rational quadratic covariance function is used in spatial statistics, geostatistics, machine learning, image analysis, and other fields where multivariate statistical analysis is conducted on metric spaces. It is commonly used to define the statistical covariance between measurements made at two points that are d units distant from each other. Since the covariance only depends on distances between points, it is stationary. If the distance is Euclidean distance, the rational quadratic covariance function is also isotropic.
This article needs additional citations for verification. (November 2022) |
The rational quadratic covariance between two points separated by d distance units is given by
where α and k are non-negative parameters of the covariance.[1][2]
Remove ads
References
Wikiwand - on
Seamless Wikipedia browsing. On steroids.
Remove ads