Matern12#

class gpjax.kernels.Matern12(active_dims=None, lengthscale=1.0, variance=1.0, n_dims=None, compute_engine=<gpjax.kernels.computations.dense.DenseKernelComputation object>)[source]#

Bases: StationaryKernel

The Matérn kernel with smoothness parameter fixed at 0.5.

Computes the covariance on a pair of inputs \((x, y)\) with lengthscale parameter \(\ell\) and variance \(\sigma^2\).

\[ k(x, y) = \sigma^2\exp\Bigg(-\frac{\lvert x-y \rvert}{\ell}\Bigg) \]

Parameters:
property spectral_density: MultivariateStudentT#

a multivariate Student’s t with 1 degree of freedom and scale \(\mathrm{diag}(\ell)^{-1}\).

Type:

The spectral measure of the Matérn-1/2 kernel