Create a white-noise kernel specification

Create a white-noise kernel specification

Usage

white_noise_kernel(variance = 1)

Arguments

variance

Positive white-noise variance.

Value

An object of class gaussianprocesses_kernel.

Stability

Stable: from version 1.0.0 this interface changes incompatibly only in a major release, after a deprecation period. Results and options that concern an experimental model class, kernel, or argument follow that interface's tier. See gaussianprocesses-package for the policy.

See also

kernel_white_noise() computes the same covariance directly from parameter values, without a kernel specification.

Examples

# Add an independent nugget to a smooth kernel.
kernel <- sum_kernel(rbf_kernel(), white_noise_kernel(variance = 0.05))
evaluate_kernel(kernel, c(0, 0.5))
#>           [,1]      [,2]
#> [1,] 1.0500000 0.8824969
#> [2,] 0.8824969 1.0500000