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**The link between kriging and thin-plate splines.**
*(English)*
Zbl 0861.41006

Kelly, F. P. (ed.), Probability, statistics and optimisation. A tribute to Peter Whittle. Chichester: Wiley. Wiley Series in Probability and Mathematical Statistics. Probability and Mathematical Statistics. 325-339 (1994).

From the authors’ introduction: “Kriging and thin-plate splines are two methods used for interpolating real-valued data as a function of a multivariable site. Under certain conditions it is well known that these two methods are equivalent to one another. The purpose of this paper is to give a self-contained and elementary description of the links between these two methods. The key tools for giving a unified explanation are of focus on self-similar random fields and the extensive use of Fourier methods. The main novelty of this paper is to attempt to pull together results from the scattered literature in a more comprehensible fashion. In addition the distinction between the order \(r\) of the polynomial drift and the intrinsic order \(p\) is emphasised, especially in \(d\geq 3\) dimensions”.

For the entire collection see [Zbl 0846.00009].

For the entire collection see [Zbl 0846.00009].

Reviewer: M.Lenard (Kuwait)

### MSC:

41A15 | Spline approximation |

41A63 | Multidimensional problems |

65D05 | Numerical interpolation |

65D10 | Numerical smoothing, curve fitting |

62N99 | Survival analysis and censored data |