Derivative of the independent covariance function. Does not depend on the value of σ^2_k; is always 1 everywhere the inputs have zero distance, and zero everywhere else.
1 | cov.independent.d(X, X2, beta, D = NA, ...)
|
X |
Matrix of data |
X2 |
(optional) second matrix of data; if omitted, X is used. |
beta |
The single hyperparameter: the log of the signal variance |
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