Description Usage Arguments Value Author(s)

This utility returns the value of the second derivative of the posterior of lambda in a Gaussian process. It is used to make a focused M-H proposal when updating the lambda parameter.

1 | ```
l.double.prime(tau, alpha, lambda, D, a, b)
``` |

`tau` |
The vector of current random effects. |

`alpha` |
The current state of the precision of the Gaussian process |

`lambda` |
The current state of lambda |

`D` |
The distance matrix of the relevant entries in tau |

`a` |
The prior parameter for lambda |

`b` |
The second prior parameter for lambda |

This returns a scalar that is then used in the focused update. Its a pretty internal function.

Alex Lenkoski <[email protected]>

spatial.gev.bma documentation built on May 29, 2017, 9:10 a.m.

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