gpPosteriorSample

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Gaussian processes are non-parametric models. They are specified
  by their covariance function and a mean function. When combined
  with data observations a posterior Gaussian process is induced.
  This function samples from that posterior.

The gptk package implements a general-purpose toolkit for
        Gaussian process regression with a variety of covariance
        functions (e.g. RBF, Mattern, polynomial, etc).  Based on a
        MATLAB implementation by Neil D. Lawrence. See
        inst/doc/index.html for more details.

Alfredo A Kalaitzis

gptk

Gaussian Processes Tool-Kit

gpPosteriorSample function

Plot Samples from a GP Posterior.

gpPosteriorSample: Plot Samples from a GP Posterior.

Description

Usage

Arguments

See Also