Interpolates discrete Gaussian process to have a new, continuous representation as a DiscreteLowRankGaussianProcess, using nearest neighbor interpolation (for both mean and covariance function)
Returns the log of the probability density of the given instance
Returns the log of the probability density of the given instance
If you are interested in ordinal comparisons of PDFs, use this as it is numerically more stable
The marginal distribution for the points specified by the given point ids.
The marginal distribution for the points specified by the given point ids. Note that this is again a DiscreteGaussianProcess.
The marginal distribution at a given (single) point, specified by the pointId.
Returns the probability density of the given instance
Discrete version of Vector[DO])], Double)
A representation of a gaussian process, which is only defined on a discrete domain. While this is technically similar to a MultivariateNormalDistribution, we highlight with this class that we represent (discrete) functions, defined on the given domain.