Description Usage Arguments Value References

Computes the distance in measure criterion.

1 2 3 |

`x` |
vector of dimension |

`integration.points` |
p*d matrix of points for numerical integration in the X space. |

`integration.weights` |
Vector of size p corresponding to the weights of these integration points. |

`intpoints.oldmean` |
Vector of size p corresponding to the kriging mean at the integration points. |

`intpoints.oldsd` |
Vector of size p corresponding to the kriging standard deviation at the integration points. |

`precalc.data` |
list result of precomputeUpdateData with |

`model` |
km model |

`threshold` |
threshold selected for excursion set |

`batchsize` |
number of simulation points |

`alpha` |
value of Vorob'ev threshold |

`current.crit` |
Current value of the criterion |

the value of the expected distance in measure criterion at *x*

Azzimonti D. F., Bect J., Chevalier C. and Ginsbourger D. (2016). Quantifying uncertainties on excursion sets under a Gaussian random field prior. SIAM/ASA Journal on Uncertainty Quantification, 4(1):850–874.

Azzimonti, D. (2016). Contributions to Bayesian set estimation relying on random field priors. PhD thesis, University of Bern.

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.