Generate MCMC or FBI samples from the posterior distribution of Gaussian Process hyper-parameters

bceMCMC | Univariate, Uniform step length MCMC function, meant to be... |

bceMCMC_mvrnorm | This is an MCMC function with a multivariate normal proposal... |

bceMCMC_mvrnorm_2 | This is an MCMC function with a particular multivariate... |

bceMCMC_norm | Univariate, Normally distributed step length MCMC function,... |

cor.matrix | Correlation Matrix for Gaussian Process based on... |

fitGauss | Runs gasp code to do gaussian process inference using... |

gpMCMC | Master MCMC function |

hessFBI | Hessian Matrix for Hyper-parameters in a Guassian Process... |

log_posterior | log.posterior for gaussian process for x,y, and f, at the... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.